Applied AI Engineer

Applied AI Engineer -Citizen Only or Green Card

Location: New York NY 10019 (3 days onsite) (1 onsite interview)

Duration 12-18mth

LOCAL needed

Must have:

• 5 years of strong front-to-back engineering experience focusing on AI ML platforms and workflows (Python or Java).
  • • • (Python or Java) AND Frontend (Angular or React) is a MAJOR PLUS
• 2yr dedicated experience in practical application of GenAI solutions in an enterprise business environment.
• Strong LLMOps expertise including evaluation harnesses prompt and version management regression testing observability and reliability measurement in production systems.
• Designing and operating GenAI orchestration frameworks in production beyond vendor examples (e.g. LangChain systems)
• Proven experience building and operating production grade GenAI / LLM platforms applying patterns such as RAG tool/function calling agentic workflows and validated structured outputs.
• Fixed Income or Institutional Lending domain experience.
• Excellent Communication
• LinkedIn Account

Overview:

• Clients Fixed Income Institutional Lending Technology team is building an enterprise grade GenAI workflow platform to enable document data extraction embedded productivity assistants and automated business workflows across business lines.
• This is not a research or demo role.
• We are seeking senior hands-on full stack engineers who have designed built and operated GenAI systems in production and understand failure modes evaluation and governance as first class AI-powered systems.

What Youll Do:

• Design and evolve reusable GenAI workflows used across Lending business lines.
• Develop an enterprise grade AI-based document ingestion and data extraction capability including traceability confidence scoring and human-in-the-loop review.
• Build AI-powered assistants embedded in Lending systems using agentic workflows.
• Deliver automated content and deck generation workflows for reporting and approvals.
• Provide expert advice on GenAI architecture including model selection orchestration patterns and evaluation strategy.
• Establish LLMOps practices: extraction accuracy assistant reliability prompts management and audit monitoring.
• Design and implement controls for entitlements PII handling within open-source models in a regulated environment.
• In the role you are expected to act as a hands-on technical expert and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending.

What Youll Bring:

• 2yr dedicated experience in practical application of GenAI solutions in an enterprise business environment.
• 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)