Generative AI Engineer; Senior​/Lead​/Principal

Generative AI Engineer (Senior / Lead / Principal) - Multiple Openings

Experience Level: 8+ to 13+ Years

Location:

Hybrid – Remote (India-based) with onsite every Thursday in Chennai

Industry: AI/ML, Enterprise Applications, Healthcare

About Big Rio:

Big Rio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, Big Rio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About the Role:

We are looking for seasoned Generative AI Engineers (Senior, Lead, and Principal levels) to join our innovative team focused on building cutting-edge AI-powered enterprise solutions. In this role, you will work with Large Language Models (LLMs), design agent-based pipelines, and deploy scalable AI services that integrate seamlessly with enterprise cloud environments. This is a hands-on technical role requiring a deep understanding of LLM frameworks, Python-based AI development, and secure cloud-based deployment strategies.

Note:

This is a hybrid role requiring onsite presence every Thursday in our Chennai office.

Key Responsibilities:

• LLM-Centric AI Application Development
• Design and develop Python-based GenAI services using frameworks like Lang Chain and CrewAI, and build Retrieval-Augmented Generation (RAG) and agent-based workflows.
• LLM Integration & Prompt Optimization
• Work with OpenAI, Claude, Bard, Azure OpenAI, and other models. Tune prompts using temperature, top_p, and . Implement techniques to reduce hallucinations using FAISS, Pinecone, and other vector stores.
• Embedding & Similarity Search
• Fine-tune embeddings, implement hybrid search, and optimize vector-based retrieval performance across enterprise datasets.
• Microservices & API Design
• Develop scalable, secure REST APIs for GenAI services with OAuth2, JWT, and proper rate limiting/access control.
• Cloud-Native Deployment & CI/CD
• Package and deploy services using Docker, Kubernetes, AWS Lambda, or Azure Functions. Automate workflows using CI/CD pipelines and Lang Chain orchestration tools.
• Agile Product Development
• Collaborate in a Scrum environment, contribute to sprint planning, provide time estimates, and drive continuous GenAI innovation across product lines.

Tech Stack & Tools:

• AI/ML & Embedding:
  PyTorch, Tensor Flow, Hugging Face, Pinecone, FAISS
• LLM Ecosystem:
  OpenAI, Lang Chain, CrewAI
• Programming:
  Python (primary), Type Script/JavaScript (a plus)
• Cloud & Dev Ops: AWS, Azure, Kubernetes, Docker, Git Hub Actions/CI/CD
• Security & Compliance: OAuth2, JWT, HIPAA (if applicable)

Ideal Candidate Profile:

• Principal (13+ yrs):
  Proven track record of leading large-scale AI initiatives. Architecture-level expertise with deep ownership of GenAI platform components and mentoring cross-functional teams.
• Lead (10+ yrs):
  Strong leadership in AI product delivery. Demonstrates hands-on expertise in LLM pipelines, deployment strategy, and team collaboration.
• Senior (8+ yrs):
  Strong individual contributor with hands-on experience building and optimizing GenAI solutions. Eager to grow into leadership.

Preferred Qualifications:

• 4+ years of hands-on experience in AI/ML and LLM-based solution development
• Experience with GenAI orchestration, prompt engineering, and embedding-based retrieval
• Deep understanding of enterprise-grade AI security, compliance, and deployment best practices
• Background in healthcare or regulated industries is a strong plus