Rengo AI - AI Engineer
Remote · United States or New York City, New York, United States
Job Summary
Founding AI Engineer to build the core AI-driven portfolio monitoring system for institutional investors. You will design real-time and batch data ingestion and monitoring of portfolio performance, exposure, and risk; develop AI-generated narratives (alerts, summaries, explanations) and structured outputs; implement Change Detection, intelligence layers, and RAG pipelines over portfolio and market data; ensure outputs are auditable and grounded in data; build LLM pipelines that avoid hallucinations and provide verifiable financial narratives; own the full stack from data to insight delivery (data → intelligence → insight delivery) using Python, Postgres, vector databases, and cloud infrastructure; work on high-reliability systems with strong emphasis on correctness and traceability.
Required Qualifications
- Strong engineering background
- 3–7+ years in backend, data engineering, or ML systems
- Strong Python (mandatory)
- Experience building production data systems or analytics platforms
- LLM / AI systems experience
- Experience building LLM applications in production
- Strong understanding of RAG systems
- Structured generation (schemas, JSON outputs)
- Tool use / function calling
- Agent workflows
- Awareness of failure modes in LLM reasoning (critical in finance)
- Data-heavy systems mindset
- Experience with time-series data
- Event-driven pipelines
- Analytics / observability systems
- Comfort working with imperfect, high-volume financial data
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