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

Job Title:

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