Applied AI Engineer

‎Our client, a fast-growing AI fintech startup, is hiring Applied AI Engineers (full-time) to chart the course of how AI is reshaping institutional finance.
‎
‎Core Responsibility:
‎This role sits at the intersection of AI implementation and financial software. You won't just use AI tools — you'll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds.
‎
‎Remuneration: 200,000.00 USD - 250,000.00 USD per annum (plus other extra benefits such as pro-rated EOY bonues of between 25k-50k, etc.)
‎
‎Candidate Required Profile:
‎- Background in fintech or biotech with experience in building applications independently.
‎- Strong technical and domain knowledge to oversee AI execution effectively.
‎- 3–8 years as a full-stack SWE or applied AI engineer (institutional investor or fintech).
‎- Demonstrated record using agentic AI tooling effectively (Claude Code, Codex, MCP servers) and building user-facing products 0-to-1.
‎- Strong Python expertise (non-negotiable; API experience with FastAPI, Flask, or Django highly preferred).
‎- First-principles understanding of the agentic loop used within most agentic frameworks (Codex, Claude Code, OpenCode, Cline, etc.).
‎
‎Kindly submit your up-to-date resume if interested.