GenAI Developer
We usually respond within a week
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.
Enjoy the ride – and great benefits
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Work-Life Balance
Hybrid work options, generous vacation, and enhanced parental leave.
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Financial Security
Occupational pensions, private medical insurance, and life assurance.
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Wellness Perks
Wellness allowances, team-building events, and healthcare support.
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Career Growth
Certifications, conferences, and internal career paths.
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Tech Freedom
Choose the tools and technologies you need to thrive.
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Have fun
Team events, informal clubs, and moments that make work more than just a job.
The hiring process
Selection
Once we get your application, our Talent Team will review it—maybe even check out your LinkedIn—to see if you’re a good fit.
You’ll hear back from us within 14 days (or sooner!).
First point of contact
If it looks like a match, we’ll reach out via email or phone to book a first call.
Keep an eye on your inbox (and spam folder!) so you don’t miss us.
TA-Screening
Your first meeting will be a video call with our Talent Team. It's our chance to learn more about you and how your skills fit the role.
We'll also share what life at Redeploy is like and leave time for your questions.
In-depth interview
Next up, you’ll meet the competence lead for the role. Together, you’ll dive deeper into how we work, the kinds of projects you may join and what the day-to-day actually looks like.
It’s also a chance for both sides to explore the match – role, consulting style and team fit – and see if this feels like the right next step.
Skills interview
Here we get a closer look at how you think and work. Depending on the role, you’ll walk through a case, discuss real scenarios or talk us through your approach to challenges.
You’ll also get a feel for how we collaborate at Redeploy and what it’s like to be part of the team.
Final interview
In the final step, you’ll meet one of our consulting managers. This is a chance to talk about your goals, how you want to grow and what we expect from the role. The manager will also walk you through our offer so you get a clear picture of perks, benefits and compensation.
By the end of this step, the aim is that any remaining questions are answered and that you have a solid sense of what joining Redeploy would look like.
Offer & pre-boarding
After the final interview, we make a decision together. If it feels right on both sides, we take references and move forward with an offer. Once everything is in place and the contract is signed, we set a start date and get your pre-boarding going.
Before your first day, we make sure you’re fully set up with the basics you need and we invite you to team activities so you can start feeling part of Redeploy before you even walk through the door.
Answers to your Questions
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We rock a hybrid work model that gives you the best of both worlds: on-site when necessary, remote when it works. Your well-being is our top priority. Need extra time at lunch to run errands, hit the gym, pick up the kids or do something good for the planet? No problem.
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To keep things secure and make sure the right person sees your application, we stick to GDPR rules. So, please use the application form on our career site or any site listing our positions.
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Absolutely. We usually run talent programs and offer internships. Keep an eye on our careers page and LinkedIn for upcoming opportunities. Also, feel free to connect with us on our Connect page and show your interest here
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Let’s break it down. "Redeploy" means to move or rearrange something for a better purpose. When we launched, the term wasn't really a thing in the data/IT world. Now, it's all about taking what's already there and setting it up somewhere better. That's exactly what we do—help our customers spot opportunities and redeploy them into smarter, stronger solutions.
About Redeploy
Redeploy is a powerhouse of cloud, data, and AI expertise. Our certified strategists, architects, developers, and engineers craft and implement cloud-native solutions, from the initial vision and strategy to developing, migrating, and managing cloud environments. Our teams across Sweden, Lithuania, and Poland assure enterprises of a comprehensive and integrated approach to their journey, focusing on reliable, secure, and efficient solutions. For more information, go to redeploy.com/about