Bosch Group: AI Expert – Generative AI Solutions Developer — coimbatore, India

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists AI Expert – Generative AI Solutions Developer in coimbatore, India, under reference REF290148Q. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 18 September 2026
• Contract type: Unlimited
• Legal Entity: Bosch Global Software Technologies Private Limited
• Brands: Bosch Group

Responsibilities and work described

• 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
• 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)
• Building: 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
• Implementation: agent orchestration, tool / function integration, memory, state management, and MCP (Model Context Protocol) based tooling
• Apply agentic approaches to the software development lifecycle (Agentic SDLC) requirements, code generation, review, testing, and documentation automation
• Building: Knowledge Graphs for effective content retrieval
• Execution: 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

Essential requirements and candidate background

• 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
• Mandatory/requires Skills:
• Hands-on experience developing and deploying Gen AI solutions using LLMs and/or SLMs
• Experience: at least one major cloud platform — Azure or AWS — for AI workloads
• Experience: at least one agentic AI framework (LangGraph, LangChain, AutoGen, or CrewAI)
• Python programming skills and experience with REST APIs, Git, and Docker
• Understanding: RAG, Knowledge Graphs, LLM routing, prompt engineering, embeddings, and vector databases
• Problem-solving skills and the ability to work independently end-to-end
• Communication and stakeholder-management skills

Preferred experience and additional strengths

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

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: coimbatore, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Expert – Generative AI Solutions Developer vacancy is not an offer for reference REF290148Q; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF290148Q.

Compare your qualifications and experience with the essential conditions for the coimbatore, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• CI/CD
• Docker
• AWS
• Azure
• MCP
• REST APIs
• APIs
• AI/ML
• LLMs
• data analysis
• AI
• compliance
• stakeholder management
• Git