Lediga jobb som Projektledare för AI hos Redeploy AB

• (3 st) GenAI Developer

  Arbetsgivare / Ort:Redeploy AB / Stockholm

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Publicerad: 2026-04-20

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  TL;DR

  → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands.

  → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing.

  → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack.

  → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way.

  
  

  What you'll do

  As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use.

  You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product.

  A few examples of what this looks like in practice:

  • A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use.

  
  

  • An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle.

  
  

  • AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences.

  
  

  The bar for what "done" means here is high: production-grade, observable, secure and used.

  
  

  What you get

  Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five.

  Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them.

  Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued.

  People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one.

  The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling.

  
  

  Who you are

  You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included.

  You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it.

  You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity.

  What you bring

  • Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout

  
  

  • Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design

  
  

  • Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation

  
  

  • Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration

  
  

  • Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments

  
  

  • Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal

  
  

  Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills.

  
  

  About Redeploy

  Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

  Arbetsgivare

  Redeploy AB
  Torsgatan 4
  11361 Stockholm

  Webbplats: http://redeploy.com
  

  Ansökan

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer

  Arbetsgivare / Ort:Redeploy AB / Stockholm

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Publicerad: 2026-04-30

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  TL;DR

  → You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible.

  → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing.

  → You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack.

  → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way.

  
  

  What you'll do

  As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture.

  You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack.

  
  

  A few examples of what this looks like in practice:

  • Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need.

  
  

  • Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases.

  
  

  • Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models.

  
  

  The bar for what "done" means here is high: production-grade, observable, secure and used.

  
  

  What you get

  Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five.

  Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them.

  Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued.

  People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one.

  The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling

  
  

  Who you are

  You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver.

  We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters.

  
  

  What you bring

  • A background in Computer Science, IT, Engineering or equivalent university degree

  
  

  • Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles

  
  

  • Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant)

  
  

  • Solid understanding of data structures, modeling and processing

  
  

  • Familiarity with data architectures like Lakehouse and Medallion

  
  

  • AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work)

  
  

  Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills

  
  

  About Redeploy

  Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

  
  

  Arbetsgivare

  Redeploy AB
  Torsgatan 4
  11361 Stockholm

  Webbplats: http://redeploy.com
  

  Ansökan

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Ansök här

  Visa mer

• (3 st) GenAI Developer

  Arbetsgivare / Ort:Redeploy AB / Stockholm

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Publicerad: 2026-04-20

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  TL;DR

  → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands.

  → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing.

  → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack.

  → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way.

  
  

  What you'll do

  As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use.

  You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product.

  A few examples of what this looks like in practice:

  • A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use.

  
  

  • An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle.

  
  

  • AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences.

  
  

  The bar for what "done" means here is high: production-grade, observable, secure and used.

  
  

  What you get

  Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five.

  Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them.

  Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued.

  People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one.

  The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling.

  
  

  Who you are

  You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included.

  You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it.

  You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity.

  What you bring

  • Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout

  
  

  • Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design

  
  

  • Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation

  
  

  • Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration

  
  

  • Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments

  
  

  • Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal

  
  

  Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills.

  
  

  About Redeploy

  Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

  Arbetsgivare

  Redeploy AB
  Torsgatan 4
  11361 Stockholm

  Webbplats: http://redeploy.com
  

  Ansökan

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer

  Arbetsgivare / Ort:Redeploy AB / Stockholm

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Publicerad: 2026-04-30

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  TL;DR

  → You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible.

  → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing.

  → You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack.

  → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way.

  
  

  What you'll do

  As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture.

  You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack.

  
  

  A few examples of what this looks like in practice:

  • Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need.

  
  

  • Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases.

  
  

  • Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models.

  
  

  The bar for what "done" means here is high: production-grade, observable, secure and used.

  
  

  What you get

  Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five.

  Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them.

  Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued.

  People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one.

  The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling

  
  

  Who you are

  You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver.

  We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters.

  
  

  What you bring

  • A background in Computer Science, IT, Engineering or equivalent university degree

  
  

  • Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles

  
  

  • Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant)

  
  

  • Solid understanding of data structures, modeling and processing

  
  

  • Familiarity with data architectures like Lakehouse and Medallion

  
  

  • AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work)

  
  

  Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills

  
  

  About Redeploy

  Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

  
  

  Arbetsgivare

  Redeploy AB
  Torsgatan 4
  11361 Stockholm

  Webbplats: http://redeploy.com
  

  Ansökan

  Ansök senast 30 september (2 månader och 17 dagar kvar)

  Ansök här

  Visa mer

Visa alla 3201 lediga jobb som Projektledare för AI