• Generative AI Solution Development (LLM / SLM):
– Design, develop, and deploy production-grade Gen AI solutions using Large Language Models (LLMs) and Small Language Models (SLMs).
– Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including chunking, embeddings, and vector database integration (e.g., Azure AI Search, ChromaDB, FAISS, Pinecone).
– Apply advanced prompt engineering, few-shot / structured prompting, function / tool calling, and output validation techniques.
– Select, fine-tune, and adapt models appropriately, balancing accuracy, latency, and cost across LLM and SLM options.
• Agentic AI Development:
– Design and build multi-agent and single-agent systems using agentic frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
– Implement agent orchestration, tool / function integration, memory, state management, and Model Context Protocol (MCP) based tooling.
– Apply agentic approaches to the software development lifecycle (Agentic SDLC) requirements, code generation, review, testing, and documentation automation.
– Build Knowledge Graphs for effective content retrieval.
– Perform log data analysis and identify anomalies based on log and system-failure data.
– Optimize agents and model token cost using LiteLLM Proxy and similar tools.
– Apply domain-based fine-tuning and Small Language Models (SLMs) for code generation.
– Onboard AI services in the API Marketplace and Gen AI Marketplace.
– Understand and apply Bosch compliance and processes for AI solution development and deployment.
• Cloud Engineering & Deployment (Azure / AWS):
– Develop and deploy Gen AI solutions on Azure (Azure OpenAI, Azure AI Foundry / AI Studio, Azure AI Search) and/or AWS (Bedrock, SageMaker).
– Containerize and deploy services using Docker; implement CI/CD pipelines for reliable, repeatable releases.
– Apply MLOps / LLMOps practices — versioning, evaluation, observability, cost monitoring, and guardrails — for production stability.
• Bosch Product Integration:
– Build and embed Gen AI features into Bosch products and internal platforms, working independently as an AI expert developer.
– Translate product and business requirements into AI capabilities and prototype rapidly to validate feasibility.
– Ensure solutions meet enterprise standards for security, data privacy, responsible AI, and compliance.
• Collaboration, Documentation & Communication:
– Work closely with cross-functional teams — product, software, QA, and architecture — to integrate AI into the product lifecycle.
– Maintain clear architecture, design, and operational documentation.
– Communicate effectively with stakeholders and present solution options and trade-offs.