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Tier-1 employer and senior visibility increase interest, but niche GenAI expertise limits applicant pool.
Deep LLM, agentic, and MLOps expertise are highly domain-specific and not easily transferable across industries.
Explicit 10–15 years plus mandatory GenAI, cloud, agentic framework, and MLOps skills makes filters stringent.
Own end-to-end design, development, and deployment of production-grade Generative AI solutions using LLMs and SLMs on Azure and/or AWS.
Develop and optimize agentic AI systems including multi-agent orchestration, prompt engineering, and integration within software development lifecycle (Agentic SDLC).
Embed AI features into Bosch products and internal platforms, ensuring compliance with enterprise security, data privacy, and responsible AI standards.
10 to 15 years of overall software/IT experience with 5 to 7 years specifically in Generative AI development.
Strong hands-on experience with Gen AI solutions using LLMs and/or SLMs.
Proven experience deploying AI workloads on major cloud platforms Azure or AWS.
Mandatory skills include Python programming, REST APIs, Git, Docker, and familiarity with agentic AI frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
Experienced in full lifecycle AI solution ownership including architecture, model selection, prompt design, deployment, and monitoring in enterprise or product environments.
Proficient in agentic AI frameworks and Agentic SDLC, capable of automating software development tasks using AI.
Skilled in MLOps/LLMOps practices for production stability, cost optimization, and observability in cloud environments.