- Build and lead AI capability focused on agentic AI for trading / treasury

- Deliver production-grade systems in regulated financial services environments

Core Technical Requirements :

- 8 - 10+ years software engineering experience

- 4+ years building AI / LLM systems in production

- Experience building agentic workflows (tool calling, orchestration, RAG)

- Strong backend engineering (Strong in Python essential)

- API integrations with enterprise systems

- Experience with vector databases and structured retrieval

- Cloud deployment (AWS / Azure / GCP)

- Monitoring, logging and auditability experience

Financial Services Experience (Must Have) :

- Exposure to Front Office trading or Treasury

- Understanding of risk / pricing systems integration

- Experience in regulated environments (audit, compliance, governance)

- Comfortable working with traders, quants and risk teams

Seniority Profile :

- Architect / Principal Engineer level

- Able to design systems end-to-end

- Comfortable client-facing in Tier-1 bank environments

- Potential to help build and lead a small AI team

Nice to Have :

- Human-in-the-loop systems

- Trading desk automation

- LLM provider-agnostic architecture

- Experience moving PoC to Production in enterprise environments