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Senior GenAI/Python Engineer

Diverse Lynx

Role overview

Qualifications

  • 5+ years of advanced professional Python development experience
  • Strong hands-on experience writing clean, tested, maintainable code
  • 1.5+ years of hands-on experience building GenAI / LLM applications
  • Strong API development experience using FastAPI or similar frameworks

Responsibilities

  • Build LLM-powered agents including intent classification and orchestration
  • Work with Agentic AI frameworks or patterns
  • Implement structured output extraction from LLMs
  • Develop applications in cloud environments, preferably Azure

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

Diverse Lynx logo

Diverse Lynx

IT Services & IT Consulting

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

Links

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Job description

Title: Senior GenAI/Python Engineer
Duration: Full Time
Location: Remote
Salary Range: $100,000-$115,000 Per Year
Must Have Technical/Functional:
  • 5+ years of advanced professional Python development experience with production-grade coding practices.
  • Strong hands-on experience writing clean, tested, maintainable code using typing, pytest, packaging standards, Git, CI/CD, Docker, and code review discipline.
  • 1.5+ years of hands-on experience building GenAI / LLM applications in production using OpenAI, Azure OpenAI, Anthropic, Bedrock, or similar model APIs.
  • Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction flows, and multi-step orchestration.
  • Hands-on experience with Agentic AI frameworks or patterns such as LanEligible to workhain, LangGraph, LlamaIndex, function calling, tool use, or custom orchestration.
  • Strong experience in structured output extraction from LLMs using JSON schema enforcement, Pydantic, retry/repair strategies, and validation logic.
  • Experience with RAG and vector search concepts including embeddings, chunking, hybrid search, reranking, entity resolution, fuzzy matching, confidence thresholds, and disambiguation flows.
  • Working knowledge of vector databases or search platforms such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake vector functions, or equivalent.
  • Strong API development experience using FastAPI or similar frameworks such as Flask or Django.
  • Experience with async Python and orchestration of parallel LLM/API calls.
  • Strong SQL skills and comfort working with large analytical datasets.
  • Cloud environment experience, preferably Azure; AWS or Eligible to workP acceptable.
  • Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, product owners, and cross-functional stakeholders.










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