AI Expert – Generative AI Solutions Developer

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Roles & 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.

• 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.

Educational qualification

BE/BTech/MCA/MSc/MTech in CS, IT, AI/ML or related field

Experience

• 10 to 15 years of overall software / IT experience, with 5 to 7 years of hands-on Generative AI experience.

Requirements

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.

Nice to have

Experience building Gen AI solutions for Bosch software or mechanical products, or in an enterprise product environment.; Experience in full software development and deployment (end-to-end SDLC ownership).; Hands-on experience with Agentic SDLC tooling (e.g., GitHub Copilot, Claude Code, spec-driven / agentic development workflows).; Experience with MLOps / LLMOps, model evaluation frameworks, and observability tooling.; Experience with fine-tuning, model distillation, or deploying SLMs on constrained / edge environments.; Familiarity with Agile methodologies and responsible / secure AI practices.