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Metro location and popular AI engineer title increase competition despite niche LLM skill requirements.
Strong requirement for generative AI, RAG, and agent expertise creates high domain bias across industries.
Explicit 5-year minimum, mandatory LLM/RAG/vector DB skills and certification expectation make filters strict.
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Build and deploy LLM-based applications incorporating RAG and AI agents for task automation and conversational AI.
Implement and ensure AI solutions comply with model governance, monitoring, security, compliance, and responsible AI standards.
Lead and mentor junior engineers while collaborating with data scientists, architects, and business stakeholders to deliver scalable AI-powered applications integrated into enterprise systems.
Minimum 5 years overall experience with at least 1 year in LLM and generative AI projects or related AI/ML Certification.
Hands-on experience building RAG pipelines and integrating vector databases.
Proficient in Python programming with understanding of prompt engineering and embeddings.
Location requirement: Chennai, Full-time role.
Experienced in developing and deploying AI agents using agent frameworks and handling client/stakeholder engagements.
Capable of leading technical teams and fostering innovation within AI engineering projects.
Comfortable working cross-functionally with data scientists, architects, and business stakeholders to operationalize AI solutions.