What are the responsibilities and job description for the Need LOCAL - AI Engineer in NYC NY - HYBRID position at Digitive LLC?
Position : AI Engineer — GenAI Platform
Duration : 6 -12 Months contract
Location : NYC/NY — Hybrid, 3 days onsite
Interview : Video then F2F in NYC .
Glider Assessment (Y): Python Glider .Local candidates only
Overview
We are seeking senior, hands-on full-stack engineers who have designed, built, and operated GenAI systems in production — and who treat failure modes, evaluation, and governance as first-class concerns. The role is a hands-on technical expert seat with a clear path to becoming a platform owner responsible for shared GenAI standards across Lending.
What You'll Do
- Design and evolve reusable GenAI workflows used across Lending business lines.
- Build an enterprise-grade AI document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review.
- Develop AI-powered assistants embedded in Lending systems using agentic workflows.
- Deliver automated content and deck generation workflows for reporting and approvals.
- Advise on GenAI architecture: model selection, orchestration patterns, and evaluation strategy.
- Establish LLMOps practices covering extraction accuracy, assistant reliability, prompt management, and audit monitoring.
- Design and implement controls for entitlements and PII handling, including safe use of open-source models in a regulated environment.
What You'll Bring
- 5 years of front-to-back engineering experience in Python or Java, with a focus on AI/ML platforms and workflows.
- 2 years of dedicated, practical GenAI experience in an enterprise business environment, including designing and operating orchestration frameworks in production beyond vendor examples (e.g., custom LangChain-based systems).
- Proven experience building and operating production-grade GenAI/LLM platforms applying RAG, tool/function calling, agentic workflows, and validated structured outputs.
- Strong LLMOps expertise: evaluation harnesses, prompt and version management, regression testing, observability, and reliability measurement in production.
- Hands-on experience building AI-first data ingestion pipelines with measurable quality, accuracy, and reliability.
- Advanced retrieval depth: multi-vector and late-interaction approaches (e.g., ColBERT), chunking strategy, multi-stage retrieval pipelines, metadata filtering, and re-ranking — plus a working command of evaluation metrics (recall vs. precision, latency vs. quality, MRR, NDCG) and how they shape RAG design.
- Experience operating GenAI systems through real production failures — model regressions, retrieval degradation, prompt drift, data quality issues — and designing mitigations.
Nice to Have
- Fixed Income or Institutional Lending domain experience.
- Experience in regulated environments with strong audit and control requirements.
- Familiarity with enterprise security, data governance, and entitlement models.
- Experience building reusable internal platforms or shared developer tooling.
- Frontend experience (Angular or React).
Salary : $60 - $65