GenAI Platform Lead / Senior Python AI Engineer (LLM, RAG, FastAPI)

BCforward

Pennington, NJ, United States of America • 1h ago • On-site

Senior

On-site

816 - 816 USD/yr

  1. Select offer
  2. Add resume
  3. Analyze
  4. Improve
  5. Apply
  6. Auto-send · soon

Match your resume with similar open roles

Upload your resume to automatically match with active openings similar to this role.

PDF up to 10 MB

Your resume is private & secure

Resume Checker & Builder preview

Potential salary for GenAI Platform Lead / Senior Python AI Engineer (LLM, RAG, FastAPI) role

Improve your resume now

$816 – $816/year

Quick Facts

  • Role: GenAI Platform Lead / Senior Python AI Engineer (LLM, RAG & FastAPI)

  • Duration: Contract (12 months)

  • Locations: Pennington, NJ / Jersey City, NJ / Charlotte, NC

Description

Lead the build-out of a next-generation GenAI platform and oversee end-to-end implementation of GenAI platform capabilities and business use cases. Own platform architecture for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate across business and IT, mentor engineers, and ensure regulatory and performance requirements are met for regional and localized deployments.

Responsibilities

  • Design, develop, and oversee end-to-end implementation of the GenAI platform and related business use cases.

  • Develop architectural approaches for AI software and hardware integration.

  • Lead cross-disciplinary teams to deliver solutions aligned to business priorities.

  • Identify, prioritize, and execute tasks across the software development life cycle.

  • Establish standards and drive automation to improve end-to-end SDLC efficiency.

  • Mentor team members in technical design and development best practices.

  • Drive platform performance, scalability, and resiliency testing.

  • Implement hardware upgrades and software enhancements for global performance expectations.

  • Address regulatory and performance requirements for regional/local infrastructure and deployments.

  • Conduct research and prototyping to improve platform and team capabilities.

  • Monitor AI/ML/data science industry trends to continuously improve solutions.

Benefits

  • Competitive compensation and benefits.

  • Opportunities for growth with global clients.

  • Supportive, inclusive culture that values innovation and people.

  • Exposure to cutting-edge technologies and projects.

See similar jobs

Explore similar jobs and use your resume score to choose where to apply next

See more

Unlock Full Resume Report