Mjukvarudesigner - Lediga jobb

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

Do you want to work with the latest technologies and highly skilled colleagues at a world‑leading company? If yes, you might be exactly who we're looking for! We're searching for a skilled Embedded Software Engineer with strong C/C++ expertise to join our Deep Learning Platform Team in Lund, Sweden. Who is your future team? You will become part of our Deep Learning (DL) Platform Team-an enthusiastic group working at the heart of Axis' DL offerings. We develop key components used across Axis products, with many touchpoints both internally and externally. Our team focuses on edge devices and their DL inference capabilities, creating solutions that make a real impact in our products. What you'll do here as an Embedded Software Engineer In this role, you'll work on technology that sits right at the core of Axis video products. You'll be deeply involved in evaluating and integrating deep learning IPs and accelerators. You'll help shape and develop our Deep Learning Runtime API and services, ensuring that application developers have a solid and efficient platform to build on. A key part of your work will be optimizing code for performance, memory usage and reliability, always striving to get the most out of our hardware. Throughout all of this, you'll collaborate closely with internal teams and external partners, contributing to a platform used across our entire product portfolio. Who are we looking for? You enjoy diving deep into embedded systems, working hands‑on with drivers, frameworks, debugging, optimization, and improving platform quality. You thrive when solving complex technical challenges and value teamwork just as much as autonomy. You bring energy, curiosity, and a willingness to continuously grow.

We'd love to hear that you have:

• A master's degree in computer science, physics, mathematics, electrical engineering, or similar
• 3-5+ years of experience in C/C++ development, embedded systems, and Linux C APIs
• A strong interest in deep‑learning-based solutions and hardware‑close programming
• Experience with Edge DL platforms and DL frameworks (a plus, not a requirement)
• Familiarity with Git, Gerrit, and Jenkins

This role is based on site at Axis HQ in Lund, Sweden.

What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle.

To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis

Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period, you can expect some delay in our response. We will review applications in August and get back to you as soon as possible. In case of questions, please reach out to recruiting manager Lisa Sjungare at phone +46 46 272 1800

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

Do you want to work with the latest technologies and highly skilled colleagues at a world leading company? If yes, look at this opportunity!

We are looking for an Embedded Software Engineer to our Product Platforms Team in Lund, Sweden. Who is your future team? You will join our Product Platforms department working with Axis key technology. The team is responsible for the technology product platforms on third party camera chipsets that are central in Axis product development. What you'll do here as Product Platform Engineer? As a key member of our product platform team you will work as software developer with video product platforms and frameworks bringing our future technology to the market. Experience from working with technology and platform vendors is valuable for this position since you will have direct dialog and interactions with Axis technology partners to secure the best video product platform and system agenda. In this position, you will occasionally travel to vendors in US and Asia to work with our video and core platforms to evaluate, set requirements, improve, and make sure that we get the best possible quality in Axis products. The position is hands-on in a very skilled and technically strong team that values individual growth, teamwork, and great spirit. With your team you contribute keeping Axis as a technology leader in a competitive video surveillance market. Who are you? You are an energetic and dedicated person with a strong personal drive and ability to work both unsupervised and as a part of a team. Key Qualifications:

• Broad experience in overall system design and implementation.
• Strong programming skills in embedded Linux, C/C++ and Python.
• Experience in working with technology and platform integration.
• Excellent debugging skills.
• Familiarity with version control systems and code review tools (Git and Gerrit).
• Experience mentoring other team members in leading technology projects.

We'd love to hear that you have/are:

• M.S. or Ph.D. degree in computer science, physics, mathematics, electrical engineering or similar.
• Dedicated individual with a strong personal drive.
• Talented engineer with a genuine interest in the latest technology development.
• Highly motivated with passion for embedded Linux platforms, frameworks, troubleshooting and software development.
• You have ability to collaborate with people from different backgrounds and competence areas (Electronics, ASIC, SW, Managers, External Partners, etc).
• The position is office-based, and you will be working at Axis headquarter in Lund, Sweden.

What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications.

We go through applications continuously so don't wait - send in your application today!

Contact our recruiting manager Sabina Ahlberg at +46 46 272 1800 if you want more information.

Do you want to work with the latest technologies and highly skilled colleagues at a world‑leading company? If yes, you might be exactly who we're looking for! We're searching for a skilled Embedded Software Engineer with strong C/C++ expertise to join our Deep Learning Platform Team in Lund, Sweden. Who is your future team? You will become part of our Deep Learning (DL) Platform Team-an enthusiastic group working at the heart of Axis' DL offerings. We develop key components used across Axis products, with many touchpoints both internally and externally. Our team focuses on edge devices and their DL inference capabilities, creating solutions that make a real impact in our products. What you'll do here as an Embedded Software Engineer In this role, you'll work on technology that sits right at the core of Axis video products. You'll be deeply involved in evaluating and integrating deep learning IPs and accelerators. You'll help shape and develop our Deep Learning Runtime API and services, ensuring that application developers have a solid and efficient platform to build on. A key part of your work will be optimizing code for performance, memory usage and reliability, always striving to get the most out of our hardware. Throughout all of this, you'll collaborate closely with internal teams and external partners, contributing to a platform used across our entire product portfolio. Who are we looking for? You enjoy diving deep into embedded systems, working hands‑on with drivers, frameworks, debugging, optimization, and improving platform quality. You thrive when solving complex technical challenges and value teamwork just as much as autonomy. You bring energy, curiosity, and a willingness to continuously grow.

We'd love to hear that you have:

• A master's degree in computer science, physics, mathematics, electrical engineering, or similar
• 3-5+ years of experience in C/C++ development, embedded systems, and Linux C APIs
• A strong interest in deep‑learning-based solutions and hardware‑close programming
• Experience with Edge DL platforms and DL frameworks (a plus, not a requirement)
• Familiarity with Git, Gerrit, and Jenkins

This role is based on site at Axis HQ in Lund, Sweden.

What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle.

To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis

Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period, you can expect some delay in our response. We will review applications in August and get back to you as soon as possible. In case of questions, please reach out to recruiting manager Lisa Sjungare at phone +46 46 272 1800

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

Do you want to work with the latest technologies and highly skilled colleagues at a world leading company? If yes, look at this opportunity!

We are looking for an Embedded Software Engineer to our Product Platforms Team in Lund, Sweden. Who is your future team? You will join our Product Platforms department working with Axis key technology. The team is responsible for the technology product platforms on third party camera chipsets that are central in Axis product development. What you'll do here as Product Platform Engineer? As a key member of our product platform team you will work as software developer with video product platforms and frameworks bringing our future technology to the market. Experience from working with technology and platform vendors is valuable for this position since you will have direct dialog and interactions with Axis technology partners to secure the best video product platform and system agenda. In this position, you will occasionally travel to vendors in US and Asia to work with our video and core platforms to evaluate, set requirements, improve, and make sure that we get the best possible quality in Axis products. The position is hands-on in a very skilled and technically strong team that values individual growth, teamwork, and great spirit. With your team you contribute keeping Axis as a technology leader in a competitive video surveillance market. Who are you? You are an energetic and dedicated person with a strong personal drive and ability to work both unsupervised and as a part of a team. Key Qualifications:

• Broad experience in overall system design and implementation.
• Strong programming skills in embedded Linux, C/C++ and Python.
• Experience in working with technology and platform integration.
• Excellent debugging skills.
• Familiarity with version control systems and code review tools (Git and Gerrit).
• Experience mentoring other team members in leading technology projects.

We'd love to hear that you have/are:

• M.S. or Ph.D. degree in computer science, physics, mathematics, electrical engineering or similar.
• Dedicated individual with a strong personal drive.
• Talented engineer with a genuine interest in the latest technology development.
• Highly motivated with passion for embedded Linux platforms, frameworks, troubleshooting and software development.
• You have ability to collaborate with people from different backgrounds and competence areas (Electronics, ASIC, SW, Managers, External Partners, etc).
• The position is office-based, and you will be working at Axis headquarter in Lund, Sweden.

What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications.

We go through applications continuously so don't wait - send in your application today!

Contact our recruiting manager Sabina Ahlberg at +46 46 272 1800 if you want more information.

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

About the role

Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line.

We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it.

We don't optimize for credentials. We optimize for builders who ship.

What you'll build and own

• The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust
• The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up
• The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years
• Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable
• Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load
• Integrations and forward-deployed problem-solving that make it work in the customer's reality
• The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am

You're probably a fit if you

• Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it
• Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working
• Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong
• Reason from user pain → solution → measurable outcome
• Care about correctness in messy, real-world data, including the edge cases that only appear in production
• Move fast and care about craft at the same time
• Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping
• Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly
• Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them

How we work

AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in.

What success looks like

• In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile
• By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made
• By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them

Tech stack

Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement.

How we evaluate

• Show us what you've built: repos, demos, shipped products, systems you've owned end to end
• What you've made work counts for more than where you worked

Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required.

Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?