<p><strong>Roles &amp; Responsibilities :</strong><br>We are seeking an experienced AI Expert who can independently design, develop, and deploy Generative AI solutions and embed AI features into Bosch products. The ideal candidate has hands-on experience building LLM/SLM-based applications and agentic systems on Azure and/or AWS, from proof-of-concept through production deployment.</p><p>This is an end-to-end engineering role. The candidate is expected to own the full lifecycle of Gen AI solutions — problem framing, architecture, model selection, prompt and retrieval design, agentic workflow development, evaluation, deployment, and monitoring — while working closely with product teams to translate business needs into reliable, scalable AI capabilities. Experience applying agentic approaches within the software development lifecycle (Agentic SDLC) is strongly valued.</p><h3>Key Responsibilities</h3><ul><li><strong>Generative AI Solution Development (LLM / SLM):</strong></li> <li>Design, develop, and deploy production-grade Gen AI solutions using Large Language Models (LLMs) and Small Language Models (SLMs).</li> <li>Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including chunking, embeddings, and vector database integration (e.g., Azure AI Search, ChromaDB, FAISS, Pinecone).</li> <li>Apply advanced prompt engineering, few-shot / structured prompting, function / tool calling, and output validation techniques.</li> <li>Select, fine-tune, and adapt models appropriately, balancing accuracy, latency, and cost across LLM and SLM options.</li> <li><strong>Agentic AI Development:</strong></li> <li>Design and build multi-agent and single-agent systems using agentic frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.</li> <li>Implement agent orchestration, tool / function integration, memory, state management, and Model Context Protocol (MCP) based tooling.</li> <li>Apply agentic approaches to the software development lifecycle (Agentic SDLC) requirements, code generation, review, testing, and documentation automation.</li> <li>Build Knowledge Graphs for effective content retrieval.</li> <li>Perform log data analysis and identify anomalies based on log and system-failure data.</li> <li>Optimize agents and model token cost using LiteLLM Proxy and similar tools.</li> <li>Apply domain-based fine-tuning and Small Language Models (SLMs) for code generation.</li> <li>Onboard AI services in the API Marketplace and Gen AI Marketplace.</li> <li>Understand and apply Bosch compliance and processes for AI solution development and deployment.</li> <li><strong>Cloud Engineering &amp; Deployment (Azure / AWS):</strong></li> <li>Develop and deploy Gen AI solutions on Azure (Azure OpenAI, Azure AI Foundry / AI Studio, Azure AI Search) and/or AWS (Bedrock, SageMaker).</li> <li>Containerize and deploy services using Docker; implement CI/CD pipelines for reliable, repeatable releases.</li> <li>Apply MLOps / LLMOps practices — versioning, evaluatio