# AI Developer at Reaktor
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.
## Your Role
As an AI Developer at Reaktor, you'll be an expert in AI-related software development responsibilities spanning the entire software development lifecycle, from front-end to production.
## Daily Tasks
- 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
- Delivering the client and the team with world-class technical expertise
- Other software development-related tasks like contributing to the overall software architecture and design, building test automation and debugging problems
## Required Competencies
- 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
- Ability to engage with client stakeholders when needed
- Fluent verbal & written English skills. Local language skills (Dutch) are seen as an advantage
## Technologies
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.