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Tier-1 brand, mid-level experience and Bangalore location increase competition, but niche GenAI skills limit qualified applicants.
Role requires specialized LLM orchestration, LangChain, vector DB and cloud AI ecosystem expertise, so background fit is highly specific.
Explicit years plus mandatory GenAI/LLM tech stack and cloud/LLMOps requirements make shortlisting highly strict.
Develop, deploy, and optimize enterprise-grade Generative AI applications, APIs, and microservices including LLM orchestration and RAG pipelines.
Build autonomous multi-agent AI workflows and integrate leading foundational/commercial models across cloud platforms (Azure, AWS, GCP).
Implement Responsible AI guardrails, evaluate LLM performance metrics, and rapidly prototype PoCs for internal and external clients.
4-7 years of professional experience in software development with strong computer science fundamentals.
Proficiency in Python programming and API development using frameworks like FastAPI, Flask, or Django.
Hands-on experience with at least one major cloud AI ecosystem: GCP (Vertex AI), Azure (Azure OpenAI), or AWS (Amazon Bedrock).
Bachelor's degree in B.Tech, BE, MTech, MCA, or MBA fulltime; notice period not explicitly mentioned.
Experienced in Building generative AI solutions with deep skills in LLM orchestration, RAG, and multi-agent autonomous workflows.
Strong with Python, cloud AI services, vector databases, prompt engineering, and LLM deployment/monitoring (LLMOps).
Comfortable working with containerization (Docker), CI/CD pipelines, and rapid prototyping of AI PoCs in an advisory/enterprise client environment.