AI Developer - LLM Applications

Reaktor

AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Reaktor's award-winning tech community is looking for AI Developers to join us in Amsterdam.

If you thrive on applying cutting-edge AI technologies, building LLM-powered applications, and driving projects through the full software development lifecycle — and you're passionate about solving real human problems with a holistic approach — we'd love to meet you.

As an AI Developer at Reaktor, your job is to be an expert in a range of AI-related software development responsibilities spanning the entire software development lifecycle, from front-end to production.

Your daily tasks include:

  • Designing and implementing end-to-end LLM-enabled applications from backend architecture to user-facing components, ensuring scalability and maintainability
  • Integrating commercial and open source LLMs (e.g. OpenAI, Anthropic, Meta Llama etc.) into production applications and workflows, using APIs or fine-tuning
  • Working with end-to-end RAG pipelines, including embeddings, vector databases (e.g. PostgreSQL + pgvector, chromaDB, pinecone), robust prompt engineering strategies and guardrails
  • Designing and implementing evaluation pipelines to benchmark the model performance and safety
  • Collaborating with cross-functional teams, contributing to the development of AI use cases to address complex business challenges
  • Working together with the client's tech and business teams and helping them to pick the right technologies suitable for their needs

To thrive in this position, you'll need:

  • Experience working with AI software development technologies (LLMs, backend, frontend, ops, and consulting skills) in a production environment
  • Experience in deploying AI applications in cloud environments (Azure, AWS, GCP) with containerization/orchestration (Docker, Kubernetes)
  • Foundational knowledge in DevOps, including Continuous Integration (CI), automated deployment, and test automation
  • Know-how on vector databases and databases (e.g., PostgreSQL + pgvector, pgvectorscale, chromaDB, pinecone)
  • Awareness of data privacy (GDPR), security and ethical considerations when handling sensitive data with AI
  • Comfort engaging with client stakeholders when needed
  • Fluent verbal & written English skills. Local language skills (Dutch) are seen as an advantage

RE: Technologies in our projects:

  • Some projects require proficiency in Python or Node.js/TypeScript, including experience with frameworks like LangChain, FastAPI or LlamaIndex
  • Some projects require JVM-based languages
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