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AI Developer - LLM Applications

Reaktor
CompanyReaktor
CategoryEngineering
LocationAmsterdam, Netherlands
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted21 May 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's 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