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Strong employer brand and metro hiring plus broad responsibilities create moderate applicant competition.
Highly specialized Generative AI, agentic frameworks, and MLOps requirements limit cross-industry transferability.
Explicit 10–15 years requirement, 5–7 years GenAI hands-on, and mandatory tech stack make filtering strict.
Design, develop, and deploy end-to-end production-grade Generative AI solutions using LLMs/SLMs on Azure and/or AWS, owning full lifecycle from problem framing to monitoring.
Build and integrate agentic AI systems and workflows (multi-agent/single-agent) into Bosch products, applying agentic SDLC practices and knowledge graphs for content retrieval.
Develop, containerize, and deploy AI services with MLOps/LLMOps practices ensuring security, data privacy, compliance, and reliability in production environments.
10 to 15 years overall software/IT experience with 5 to 7 years hands-on Generative AI experience.
Bachelor’s or Master’s degree in CS, IT, AI/ML or related field (BE/BTech/MCA/MSc/MTech).
Strong hands-on experience with LLM/SLM-based Gen AI solution development and deployment.
Proven experience with cloud AI workloads on Azure and/or AWS and agentic AI frameworks (e.g., LangGraph, LangChain, AutoGen, or CrewAI).
Highly experienced in end-to-end Gen AI engineering including architecture, prompt engineering, RAG pipelines, and agent orchestration for scalable enterprise solutions.
Skilled in Python programming, API development, containerization (Docker), and implementing MLOps/LLMOps for production AI systems.
Experienced in embedding AI into software products, able to translate business needs into reliable AI capabilities while ensuring compliance with enterprise AI standards.