Lead Generative AI Engineer

17 hours ago

Pacific Remote Islands Marine National Monument, India BigR Full time

Job Title: Lead Generative AI Engineer
Location: Hybrid – Remote (India-based) with onsite every Thursday in Chennai- Travel cost will be reimbursed
Industry: AI/ML, Enterprise Applications, Healthcare

About BigRio: BigRio is a Boston-based, remote-first technology consulting firm known for solving complex data and AI challenges. We partner with forward-thinking organizations in healthcare, life sciences, government, and enterprise sectors to deliver scalable, cost-effective, and innovative technology solutions.

Why This Role Is Unique
This is not just another AI role. Sixty percent of your work will focus on REST API design, microservices architecture, and enterprise-grade backend engineering, while the remaining 40% will let you push boundaries with Generative AI, LLMs, and advanced prompt engineering. You will not just build models—you will build production-ready, AI-driven platforms for enterprise clients.

Key Responsibilities

  • Backend & API Engineering (60% Focus)
  • Design and implement REST APIs and microservices for high-performance AI systems.
  • Apply enterprise object-oriented programming best practices for secure, scalable backend services.
  • Integrate AI-powered features with cloud-native architectures.
  • Generative AI & LLM Development (40% Focus)
  • Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
  • Implement retrieval-augmented generation (RAG).
  • Apply advanced prompt engineering and model tuning techniques for optimized results.
  • Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We're Looking For

  • 7+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
  • 2+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
  • Strong hands-on Python expertise and object-oriented design patterns.
  • Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
  • Proven track record delivering production-ready, scalable applications.

Nice-to-Have Skills

  • MLOps, vector databases, or additional AI frameworks.
  • Cloud-native deployment experience (AWS, Azure, or GCP).
  • Previous experience in healthcare or regulated environments.

Job Types: Full-time, Permanent

Pay: ₹4,500, ₹5,500,000.00 per year

Benefits:

  • Health insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Experience:

  • Back-end development: 7 years (Required)
  • AI/ML Solutions: 2 years (Required)

Willingness to travel:

  • 25% (Required)

Work Location: Remote

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