Senior AI Engineer – Python, LLM & API Platforms

NAM Info Inc

Edison (NJ)

On-site

USD 140,000 - 190,000

Full time

4 hours ago
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Job summary

NAM Info Inc. is seeking a senior Python AI/LLM engineer in Edison, NJ to design, build, and deploy AI-powered applications using FastAPI/Flask. You will develop REST APIs and scalable enterprise solutions and mentor teams while optimizing data pipelines for performance.

The role emphasizes leadership in architecture, collaboration with risk stakeholders, and delivering AI-driven solutions within complex data environments. Extensive experience in Python and data engineering is required.

Qualifications

  • Strong Python development with FastAPI or Flask.
  • Experience building production-grade AI/LLM applications.
  • Solid SQL, data modeling, and data engineering fundamentals.
  • Expertise in concurrency, asynchronous programming, and performance optimization.
  • Experience with testing, production support, and system reliability.
  • Strong architectural design and technical leadership skills.

Responsibilities

  • Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
  • Develop REST APIs and scalable enterprise solutions.
  • Build AI-powered data analytics and self-service platforms.
  • Optimize data pipelines for performance and scalability.
  • Collaborate with Risk stakeholders to deliver AI-driven solutions.
  • Provide technical leadership, architecture guidance, and mentor engineering teams.

Skills

Python development
AI/LLM apps
SQL & data modeling
Concurrency/Async
Testing & reliability
Technical leadership

Education

Bachelor's/Master's in CS

Tools

LangChain
CI/CD (Jenkins, GitHub Actions)

Job description

NAM Info Inc. is seeking a senior Python AI/LLM engineer in Edison, NJ to design, build, and deploy AI-powered applications using FastAPI/Flask. You will develop REST APIs and scalable enterprise solutions and mentor teams while optimizing data pipelines for performance.

The role emphasizes leadership in architecture, collaboration with risk stakeholders, and delivering AI-driven solutions within complex data environments. Extensive experience in Python and data engineering is required.

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