Open role
Data & AI Engineer
Latitude Amsterdam B.V.
About the role
Full-time Hybrid Latitude is a Data & AI consulting firm building AI Agents & Interfaces for Europe’s leading organisations. We help organisations go beyond just using a chat interface, our goal is to infuse AI into the core workflows, systems, and decisions that define their business. As our AI Engineer, you build and ship. You turn architecture and requirements into robust, production-grade AI systems that run reliably in the real world. Depending on the engagement, this can mean building a retrieval-augmented knowledge system, developing agent workflows to automate internal tasks, or prototyping new AI-first products. The right AI approach depends on the business need, and you make sure it’s built right, end-to-end. We mix and focus as well on integrating classic analytics solutions, from the right data infrastructure to Machine Learning models in production.
What you'll do
Build and deploy AI systems powered by LLMs and external/internal data sources Design and maintain RAG pipelines using embeddings, vector databases, and knowledge stores Develop AI agents and multi-agent tools that automate tasks, support users, or enhance creativity Evaluate model performance across criteria like hallucination, usefulness, and latency, and implement guardrails Extend and improve our internal product LatitudeGPT, the AI interface layer for European businesses Work across open-source and hosted models (OpenAI, Claude, Mistral, Llama3, etc.) Integrate LangChain, Open WebUI, LiteLLM, N8N, and other orchestrators into custom solutions Deploy applications to cloud environments (primarily AWS using ECS, Lambda, and S3) Collaborate closely with technical and non-technical stakeholders across our team and client orgs Build analytical tools and data infrastructure to reliably make data available for analysis
What you'll bring
2+ years in backend, data engineering, or ML roles, with at least 1-2 years working directly with LLMs or AI applications Hands-on experience with cloud deployment (AWS preferred), including containers or serverless services Experience setting up data pipelines and ETL/ELT Strong Python development skills, especially in frameworks like FastAPI, LangChain, or equivalent Experience building production-grade LLM pipelines (RAG, embeddings, vector stores like Qdrant or Weaviate) Familiarity with agentic AI tools (LangGraph, CrewAI, N8N, etc.) and workflow orchestration Understanding of LLM behaviour evaluation and guardrail implementation (or strong motivation to learn and lead here) Comfort working independently and switching between client work and internal product development Startup-style mindset: resourceful, curious, iterative, and willing to wear multiple hats
Nice to have
Some basic frontend experience (React or Next.js) Familiarity with infrastructure-as-code tools (e.g., Terraform, Pulumi, AWS CDK) Experience integrating with third-party APIs, enterprise systems, or secure environments Prior work on internal tooling, chat interfaces, or workflow automation Contributions to open-source LLM/AI projects, or a personal GitHub with interesting experiments
What's on offer
Work on both internal product development and high-impact client projects Help shape the core technical stack behind next-generation AI tooling Collaborate directly with co-founders and engineers Flexible hybrid setup: work from our Amsterdam HQ, at the client and at home A fast-moving, high-learning environment with real responsibility and room to grow Apply By Sending Your CV [email protected]