AI Developer - LLM Applications
Reaktor
| Company | Reaktor |
| Category | Engineering |
| Location | Amsterdam, Netherlands |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 21 May 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
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