AI Engineer - AI/LLM ( Chennai Based Role)
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy production-grade AI/ML systems and LLM-powered applications including RAG pipelines and agentic workflows.
Own the complete ML lifecycle: data pipelines, model training/fine-tuning, evaluation, deployment, and monitoring with performance optimizations such as inference optimization and quantization.
Develop AI/LLM solutions on internally hosted/on-premises infrastructure ensuring secure enterprise data handling; collaborate cross-functionally to translate business needs into scalable AI solutions.
Minimum Requirements
Bachelor's degree in Computer Science, Machine Learning, AI, or related field (or equivalent practical experience).
Minimum 3 years of ML/AI engineering experience with at least 2 years in senior or lead roles.
Proven experience building LLM applications including RAG, agents, fine-tuning, and prompt engineering; plus hands-on with vector databases (Pinecone, Weaviate, FAISS).
Experience developing and deploying AI solutions using on-premises models in secure enterprise environments; knowledge of Docker, Kubernetes is preferred.
Ideal Candidate Profile
Experienced in delivering AI/ML solutions within secure, enterprise-grade on-premises environments limiting external/internet-dependent AI services.
Demonstrates deep expertise in full ML lifecycle management with a focus on deployment scalability, performance optimization, and MLOps practices.
Strong software engineering foundation capable of designing systems and communicating complex AI concepts effectively to both technical and non-technical stakeholders.