Overview

AI Expert – Generative AI Solutions Developer • Full-time • Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications

• 10 to 15 years of overall software / IT experience, with 5 to 7 years of hands-on Generative AI experience.
• Strong hands-on experience developing and deploying Gen AI solutions using LLMs and/or SLMs.
• Proven experience with at least one major cloud platform — Azure or AWS — for AI workloads.
• Hands-on experience with at least one agentic AI framework (LangGraph, LangChain, AutoGen, or CrewAI).
• Strong Python programming skills and experience with REST APIs, Git, and Docker.
• Solid understanding of RAG, Knowledge Graphs, LLM routing, prompt engineering, embeddings, and vector databases.
• Excellent problem-solving skills and the ability to work independently end-to-end.
• Strong communication and stakeholder-management skills.
• Hands-on experience with Agentic SDLC tooling (e.g., GitHub Copilot, Claude Code, spec-driven / agentic development workflows).
• Familiarity with Agile methodologies and responsible / secure AI practices.