Artificial Intelligence Engineer

Job Title: Applied AI Engineer (F2F Required)

Work Location: New York, NY (Hybrid)

Duration: 12 Months Contract

Local candidates Only & F2F interview.

Experience Required

• Designing and operating GenAI orchestration frameworks in production beyond vendor examples (e.g., LangChain systems).
• 5+ years of strong front-to-back engineering experience, focusing on AI ML platforms and workflows (Python or Java).
• Proven experience building and operating production grade GenAI / LLM platforms, applying patterns such as RAG, tool/function calling, agentic workflows, and validated structured outputs.
• Strong LLMOps expertise, including evaluation harnesses, prompt and version management, regression testing, observability, and reliability measurement in production systems.
• Hands on experience building AI-first data ingestion pipelines with measurable quality, accuracy, and reliability.
• Advanced retrieval experience advanced vector search, including multi vector and late interaction approaches (e.g., ColBERT, chunking), multi stage retrieval pipelines, metadata filtering, reranking.
• Solid understanding of evaluation metrics and how they shape practical RAG system design (e.g., recall vs precision, latency vs quality, MRR, NDCG).
• Experience operating GenAI systems through real production failures (model regressions, retrieval degradation, prompt drift, data quality issues) and designing mitigation strategies.
• Nice to Have Fixed Income or Institutional Lending domain experience. Experience working in regulated environments with strong audit and control requirements.
• Familiarity with enterprise security, data governance, and entitlement models. Experience designing reusable internal platforms or shared developer tooling.
• Frontend experience is beneficial (Angular or React)