Position: AI Engineer
Location: New York, New York
Duration: Contract
Job ID: 177525
Job Overview: We are seeking a highly skilled and experienced AI Engineer to join our team. The role involves building an enterprise-grade Generative AI (GenAI) workflow platform to enable document data extraction, embedded productivity assistants, and automated business workflows across various business lines. This is a hands-on, production-focused role requiring expertise in designing, building, and operating GenAI systems with a strong emphasis on failure modes, evaluation, and governance.
Responsibilities: - Design and evolve reusable GenAI workflows for use 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, such as extraction accuracy, assistant reliability, prompt management, and audit monitoring.
- Design and implement controls for entitlements and PII handling within open-source models in a regulated environment.
- Act as a hands-on technical expert with a clear path to becoming a platform owner responsible for shared GenAI standards across Lending.
Qualifications: - 2+ years of dedicated experience in the practical application of GenAI solutions in an enterprise business environment.
- Experience 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, including advanced vector search, multi-vector and late interaction approaches (e.g., ColBERT, chunking), multi-stage retrieval pipelines, metadata filtering, and reranking.
- Solid understanding of evaluation metrics and their impact on practical RAG system design (e.g., recall vs. precision, latency vs. quality, MRR, NDCG).
- Experience operating GenAI systems through real production failures (e.g., 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 (Angular or React) is beneficial.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $70 - $75/hour
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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