Junior Forward Deployed Engineer

Most GenAI never leaves the demo. We hire for the people who get it into production, and into daily use. The Forward Deployed Engineer closes that gap: a field engineer who builds GenAI applications (agents, RAG pipelines, copilots) and makes sure they get adopted, embedded in daily workflows, and deliver measurable value. You quickly grasp a client's operational challenges, design a tailored response, deploy it, and bring teams along in the transformation. 

You will operate at the intersection of Data Science, ML/Platform Engineering, and client delivery, helping customers find the right level of sophistication, semantic search, RAG, agents, or fine-tuning, deliver measurable ROI in the most cost-effective way. Beyond crafting prompts, you will design and build robust, scalable products: benchmarking candidate Foundation Models across the model stack (from GPT-x, Claude, and Gemini to edge models like Mistral), rapidly iterating prototypes, and validating ideas directly with users using frameworks such as LangChain, LlamaIndex, and pgvector. 

We work closely with leading technology partners including Anthropic (Claude), OpenAI, Databricks, and AWS. In practice that means early access to new model releases, direct engineering channels to the labs, funded certifications, and the freedom to pick the right tool, not just the one you're locked into. 

What you'll actually do 

• Spend time on client sites with a senior Forward Deployed Engineer, learning how their teams work and where AI can help.
• Help scope and build LLM-based solutions under guidance: RAG pipelines, tool-using agents, workflow automation, and chat interfaces.
• Connect these solutions to existing systems (APIs, databases, business tools) using established patterns and templates.
• Help apply data protection and AI regulation requirements (GDPR, EU AI Act, model licences) to your work, following the guidance your senior colleagues set.
• Support user adoption: prepare documentation, contribute to training sessions, and collect feedback on what works and what doesn’t.
• Measure how solutions perform in use, and suggest improvements to your senior colleagues.
• Share progress in clear written and verbal updates to both technical and business audiences.