Hybrid: Applied AI Engineer for Production Systems

Devleaps

Hoofddorp

Hybrid

EUR 70,000 - 100,000

Full time

25 hours ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Devleaps in the Netherlands seeks an Applied AI Engineer who designs and deploys business-ready AI agents, integrating with client systems and ensuring guardrails and observability. You will start from real business problems, build multi-step workflows, handle legacy data, and productionize retrieval and evals.

Fluency in Dutch and professional English is required; experience with Azure, AWS or similar cloud and agent frameworks is a plus.

Qualifications

4–8 years of software engineering experience, with at least 1–2 years building LLM, agent or generative AI solutions that real users depend on, ideally in production.
Strong Python or TypeScript skills and experience integrating with enterprise systems through APIs, events and messy data.
Hands-on experience with LLM APIs and agent frameworks (Anthropic, OpenAI, Azure OpenAI or Bedrock; LangGraph, the OpenAI or Claude Agent SDKs, Semantic Kernel or similar).
Experience with tool use and MCP, multi-step and multi-agent workflows, structured output and human-in-the-loop patterns.
Experience building and evaluating RAG: chunking, embeddings, hybrid search, re-ranking, retrieval quality and hallucination mitigation, on vector stores such as pgvector, Azure AI Search or similar.
Hands-on work with evals, guardrails and LLM observability (tracing, cost and quality metrics), with tools such as Langfuse, LangSmith, Braintrust, orq.ai or similar.
Working knowledge of identity, authorisation and data protection in the context of agents, and familiarity with what the EU AI Act asks of the systems you build.
Comfort with CI/CD, containers and at least one cloud (Azure or AWS preferred).
Experience with an enterprise agent platform such as Copilot Studio, Agentforce, ServiceNow or Gemini Enterprise is a strong plus, as is having scoped or delivered a fixed-outcome project.
Fluent Dutch, professional English.

Responsibilities

Start from the business problem, find a measurable use case, and connect it to values like cost to serve, throughput, revenue or customer experience.
Design and build agents that survive contact with reality: multi-step workflows, tool and API orchestration, structured output and human-in-the-loop when needed.
Work the messy middle: integrate with legacy systems, handle partial data, identities and permissions, and manage exceptions.
Make agents safe to grant real access: scope what an agent can see/do, build input/output guardrails, and maintain an audit trail for security/compliance.
Build retrieval that works on real content: RAG and search pipelines against client documents and policies, measured by retrieval quality.
Prove it works and keep proving it: write domain evals with the business and set up monitoring for ongoing validity.
Build on what the client already has: deliver on Azure AI Foundry, Bedrock, Vertex or other platforms and offer honest feedback on gaps.
Take it to production and hand it over well: ship one live use case with evals, guardrails and documentation, then provide reusable building blocks.