Senior AI/LLM Application Engineer :

A leading global hedge fund is seeking a seasoned Senior AI / LLM Application Engineer to design and deploy intelligent, LLM-powered agents that enable business users to query proprietary internal data through natural language interfaces.

This is a hands-on engineering role working at the intersection of applied AI and data engineering, integrating large language models with the firm's Microsoft Fabric data platform and a range of internal data stores. The successful candidate will own the full lifecycle of AI agent development from custom connector design through to production deployment.

The Opportunity :

- Design and build custom connectors and AI agents capable of interrogating diverse data stores, including time series databases, document repositories, and relational databases.

- Architect and implement agentic systems using frameworks such as LangChain, LlamaIndex, or Microsoft Semantic Kernel, with full ownership from prototype to production.

- Develop natural language to SQL/DAX pipelines against complex, multi-table financial schemas with robust handling of text-to-SQL failure modes.

- Apply prompt engineering, context window management, and retrieval-augmented generation (RAG) to maximise accuracy and reliability.

- Design agentic systems that enforce row-level security, role-based access control, and data sensitivity classifications end-to-end.

- Integrate LLM APIs (Anthropic Claude, Azure OpenAI) into scalable, production-grade applications deployed on Azure.

Ideal Profile :

- 8 to 10+ years of progressive software engineering experience, with at least 3 years focused on production AI/LLM application development.

- Proven experience building custom connectors and agents that interrogate multiple data store types time series (e.g. InfluxDB, kdb+), document stores (e.g. Elasticsearch, vector DBs), and relational databases.

- Deep expertise in agentic orchestration frameworks: LangChain, LlamaIndex, or Microsoft Semantic Kernel.

- Strong Python development skills; experience building and deploying API-driven, cloud-hosted applications on Azure.

- Familiarity with Microsoft Fabric, Power BI API endpoints, and Azure cloud deployment patterns.

- Background in capital markets, hedge fund, or asset management environments preferred.

- Exposure to multi-agent system design patterns is advantageous.

Why This Role :

- Greenfield AI agent build-out with full architectural ownership.

- Direct exposure to front-office, risk, and data engineering stakeholders.

- Opportunity to define the AI tooling strategy of a global investment firm.