Senior 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

• Sit with a client's team, work out where AI actually earns its keep (and where it doesn't), and turn that into something you can ship.

• Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, and conversational interfaces.

• Integrate these solutions into clients' existing environments (APIs, databases, business tools), complying with applicable regulations (GDPR, EU AI Act, model licenses, etc.).

• Get people to actually use what you built: training, winning sceptics over, and iterating until it sticks rather than sits.

• Iterate quickly with stakeholders to refine solutions in production and maximize their impact.

• Be the person in the room who can talk to the engineers and to the board, and be believed by both.

You'll thrive here if

• Have a grounding in computer science, AI, or a related technical field. A degree is the usual route, but we care that you can build.

• 2+ years of professional experience. We hire for trajectory, so strong graduates with serious LLM projects behind them are genuinely encouraged to apply

• Have hands-on experience building with LLMs, whether in production, in research, or in substantial personal projects: advanced prompting, RAG, fine-tuning, agent orchestration, and systematic evaluation of model outputs (evaluation sets, regression testing).