IN_Senior Associate_ AI Engineer_ GCC_ Advisory_ Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level AI role in Bangalore with broad LLM and MLOps requirements drives high competition.
ML/AI skills transfer across industries, but enterprise LLM/RAG experience adds moderate domain specificity.
Explicit 4-8 years and mandatory LLM/RAG/MLOps skills create strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI/ML models, focusing on building and optimizing Generative AI applications using LLMs like GPT, Claude, Llama, Gemini.
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and fine-tune foundation models for domain-specific needs.
Collaborate with cross-functional teams to define AI solutions, implement MLOps for lifecycle management, and ensure scalability, security, and reliability of AI models.
Minimum Requirements
4-8 years of relevant work experience.
Mandatory skills: Experience building and optimizing Generative AI applications using LLMs (GPT, Claude, Llama, Gemini).
Experience developing RAG solutions with vector databases.
Educational qualifications: B.Tech, M.Tech, MBA, or MCA.
Ideal Candidate Profile
Strong expertise in Large Language Models and advanced generative AI technologies with hands-on deployment experience.
Experience in cross-functional collaboration including with data engineers and business stakeholders for enterprise AI solutions.
Familiarity with MLOps practices and values continuous learning about emerging AI technologies and best practices.