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Tier-1 brand, mid-level GenAI role in Bangalore with common tooling creates moderate applicant competition.
Requires specialized GenAI, LLM, and cloud AI tooling experience, limiting cross-industry transferability.
Explicit 4-7 years plus mandatory GenAI stack and cloud/LLM tooling.
Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices focusing on solution delivery in emerging technologies.
Optimize Retrieval-Augmented Generation (RAG) pipelines, integrate leading AI models via cloud platforms, and build autonomous multi-agent workflows to automate complex business processes.
Implement responsible AI practices including safety guidelines, content moderation, data privacy controls, and performance monitoring; rapidly prototype Proof of Concepts (PoCs) for client engagements.
4-7 years of software development experience with strong computer science fundamentals.
Proficient in Python programming and experienced in building RESTful/GraphQL APIs using frameworks like FastAPI, Flask, or Django.
Hands-on experience with at least one major cloud AI ecosystem (GCP Vertex AI, Azure OpenAI Service, or AWS Bedrock).
Bachelor’s degree in Engineering (BE/BTech), MTech, MCA, or MBA (fulltime) mandatory.
Experienced with advanced Generative AI frameworks such as LangChain, LlamaIndex, or LangGraph and vector databases (e.g., Pinecone, Milvus).
Skilled in designing complex prompt engineering solutions and embedding strategies with knowledge of DevOps tools like Docker and CI/CD pipelines for LLM monitoring.
Able to integrate and operate AI models within enterprise cloud environments and deliver rapid prototyping for advisory and emerging business clients.