AI Expert – Generative AI Solutions Developer

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.

Key Responsibilities

     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.

Qualifications :

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.

Mandatory/requires Skills :

     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.

Preferred Skills :
     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.

Remote Work :

No

Employment Type :

Part-time