Lead GenAI Engineer

Office in India: Chennai, India: Coimbatore

AI Engineering

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We are seeking an experienced Lead GenAI Engineer to spearhead the development and deployment of cutting-edge Generative AI, LLM, and agentic AI solutions.

This role combines technical expertise with leadership to deliver impactful AI systems optimized for business applications.

Responsibilities

Lead the development, fine-tuning, and deployment of LLMs, Generative AI, and agentic AI models for business use cases
Architect and implement RAG workflows and agentic AI solutions to solve complex problems
Manage embeddings and optimize model performance for production deployment
Design and orchestrate AI agents and multi-agent systems for workflow automation
Integrate AI models and agents with APIs, backend systems, and cloud tools
Collaborate with data engineers, product teams, and business stakeholders to align solutions with strategic goals
Ensure compliance with MLOps best practices and operationalize AI governance measures
Promote secure, ethical AI standards and contribute to responsible AI development
Oversee system scalability, robustness, and continuous improvement initiatives
Provide technical leadership to mentor team members and shape the organization's AI strategy

Requirements

8+ years total experience in AI/ML, including 2+ years working with Generative AI, LLMs, and agentic AI
Proficiency in Python, PyTorch, TensorFlow
Expertise in GenAI tools like Hugging Face Transformers, LangChain, RAG pipelines
Background in agentic AI frameworks, including LangChain Agents, OpenAI Function Calling, AutoGen, CrewAI, MetaGPT
Understanding of vector databases such as FAISS, Qdrant, Chroma, and Pinecone
Knowledge of cloud platforms like AWS SageMaker, Bedrock, Azure OpenAI Service, Azure Machine Learning, Google Vertex AI
Capability to utilize Docker, Kubernetes, CI/CD pipelines, and RESTful APIs for integration tasks
Familiarity with MLOps best practices, AI governance, and ethical AI standards