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Tier-1 brand, mid-level (4–7 yrs), Bangalore metro and popular GenAI skills drive high competition.
Low: core GenAI, LLMOps and cloud skills are highly transferable across industries.
High: explicit 4–7 years plus mandatory GenAI stack, cloud, LangChain, vector DBs and LLMOps requirements.
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Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices.
Optimize Retrieval-Augmented Generation pipelines and build multi-agent autonomous workflow systems for complex business processes.
Integrate commercial and foundational AI models within enterprise cloud platforms, implement Responsible AI guardrails, and collaborate on rapid PoC development for clients.
3–6 years of software development experience with strong computer science fundamentals.
Expertise in Python programming and API development using FastAPI, Flask, or Django.
Hands-on experience with at least one major cloud AI ecosystem: GCP Vertex AI, Microsoft Azure OpenAI, or AWS Bedrock.
Bachelor’s degree in Engineering (BE/BTech) or related fields (MTech/MCA/MBA fulltime).
Experienced in advanced Generative AI toolkits including LangChain, LlamaIndex, vector search databases, and prompt engineering.
Skilled in containerization (Docker), CI/CD pipelines, and LLM monitoring tools reflecting operational LLM deployment expertise.
Comfortable working on multi-cloud environments integrating AI models, focusing on scalable and compliant AI solutions in advisory or product innovation contexts.