> Djinni
senior
AI Engineer
format:Hybrid
pythonlangchainlanggraphclaude code
> full description
We are looking for an AI Integration Engineer (Python) to join our client's team on a UK insurtech project.
Responsibilities:
- Configure and deploy product journeys on the platform for each carrier or MGA partner
- Build and maintain integrations with policy admin systems, quoting engines, and data feeds
- Own data mapping and schema translation between the platform's data model and each insurer's existing architecture
- Spot recurring patterns across deployments and turn them into platform improvements
- Conduct technical scoping for new insurer partnerships, defining feasibility and required effort
Help define what a genuinely good AI insurance journey looks like in production
Requirements:
- At least 4+ years of hands-on experience with API integration and data mapping — real integration work
- Strong Python experience, with a solid API/integration background
- Insurance, insurtech, or closely adjacent background — a real understanding of how carriers, MGAs, and intermediaries operate
- Day-one fluency with agentic tooling such as Claude Code, LangGraph/LangChain, or equivalent — not necessarily building pipelines from scratch, but able to hit the ground running
- Comfortable being client-facing — equally at ease in a carrier meeting and in a terminal, sometimes in the same afternoon
- A proactive mindset: someone who gets frustrated when a platform limits what they can deliver for a customer, and takes action to fix it
- Upper-Intermediate English or higher
We Offer:
- Innovation Culture: Work in a team that actively experiments with AI and modern development approaches
- Real Product Impact: Direct collaboration with a client and influence on product decisions
- Flexible Work: Remote work or a modern office in Kyiv
- Generous Time Off: 20 paid vacation days + 15 sick leave days annually
- Professional Growth: Compensation for courses, certifications, and learning resources
- Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)
Recruitment Process:
- HR Interview
- Technical&Final Interview
- Client Stage
- Job Offer