





Strong Tier-1 brand but niche GenAI, cloud, and agentic requirements moderate candidate competition.
GenAI, agentic, and cloud deployment skills are transferable, yet enterprise integration adds domain specificity.
Explicit 10–15 years and mandatory GenAI, cloud, and agentic framework skills create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the end-to-end lifecycle of generative AI solutions including design, development, deployment, and monitoring using LLM/SLM models on Azure and/or AWS clouds.
Develop and embed Gen AI features into Bosch products, translating business needs into scalable, reliable AI capabilities with compliance to enterprise standards.
Implement agentic AI systems and frameworks, optimize AI workflows for software development lifecycle, and maintain cross-functional collaboration and documentation.
10 to 15 years of overall software/IT experience with 5 to 7 years hands-on Generative AI experience.
Strong hands-on development and deployment experience with generative AI solutions using LLMs/SLMs.
Proven experience with Azure or AWS cloud platforms for AI workloads.
Bachelor’s or Master’s degree in CS, IT, AI/ML or related field.
Experienced in full SDLC ownership for enterprise generative AI products and integration with complex product ecosystems like Bosch.
Skilled in agentic AI frameworks such as LangGraph, LangChain, AutoGen, or CrewAI with strong Python and cloud engineering expertise.
Familiar with production-grade MLOps/LLMOps practices, prompt engineering, retrieval-augmented generation, and responsible AI compliance requirements.