Lead GenAI Engineer
Office in Chennai, Coimbatore
AI Engineering
& others
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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