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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- Travel cost will be reimbursed 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 Equal Opportunity Statement BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.