Forward-Deployed Engineer (GenAI)
Location: Remote (1-2 days a month in London) | Travel: Required to client sites in London as needed
Salary: ~£70,000 per annum (flexibile depending on experience) + Equity + Bonus
Gravitas is proud to partner with an AI-led fintech start-up that is transforming wealth management and financial services through agentic GenAI solutions.
We’re seeking a Forward-Deployed Engineer (GenAI) who thrives at the intersection of deep technical expertise and customer impact. In this role, you’ll work directly with senior stakeholders to design, prototype, and productionise GenAI-driven solutions on their agentic platform.
Key Responsibilities
- Collaborate with client teams to understand domain challenges and success metrics.
- Translate business requirements into scalable AI solutions using the agentic framework.
- Prototype and deploy LLM-based agents (prompt structures, orchestration logic, memory, retrieval pipelines).
- Drive the transition from proof-of-concept to production with reliability and measurable ROI.
- Act as a trusted technical advisor, guiding adoption and defining success metrics.
- Contribute reusable components and frameworks for faster deployments.
Qualifications
- 2+ years building production-grade AI/data solutions as a FDE, Data Scientist or AI Engineer
- Hands-on GenAI experience (LLMs, prompt engineering, RAG, vector databases, agentic frameworks like LangChain, LlamaIndex, DSPy).
- Strong Python proficiency.
- Expertise in Machine Learning Engineering (model development, deployment, monitoring).
- Ability to break down complex business domains into computational workflows.
- Excellent communication skills and comfort engaging senior stakeholders.
Why Join?
- Shape how financial institutions adopt and scale agentic AI.
- Move beyond prototypes, deploy real-world GenAI systems.
- Work directly with founding leadership, influencing product evolution.
- Blend engineering excellence, product innovation, and customer impact.
- Equity in an early stage start-up.
Interested? Apply now or reach out to Gravitas for a confidential discussion.
