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 BigRio:

BigRio 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, BigRio 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 LangChain 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 max_tokens.
  
  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 LangChain 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, TensorFlow, Hugging Face, Pinecone, FAISS


• LLM Ecosystem: OpenAI, LangChain, CrewAI


• Programming: Python (primary), TypeScript/JavaScript (a plus)


• Cloud & DevOps: AWS, Azure, Kubernetes, Docker, GitHub 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