2025_Agentic AI Engineer_SDS/BSV-ES_Bengaluru at Bosch Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, LLMs, Multi-Agent Orchestration, RAG, Cloud Integration, Python, JavaScript, FastAPI, Flask, Node.js, MLOps, Prompt Engineering, Model Evaluation, Cloud Deployment, Agentic Frameworks, Problem-Solving, Analytical Skills

Industry

Software Development

Description

Company Description 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. Job Description Role Overview We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents that can reason, plan, and act autonomously across complex workflows. The candidate should have strong experience in Generative AI, LLMs, multi-agent orchestration frameworks, RAG, and Cloud Integration. This role involves building agent-driven solutions for automation, decision-making, and enterprise use case Key Responsibilities Design and implement autonomous AI agents using LLMs (OpenAI, Anthropic, Llama, etc.). Develop multi-agent systems using frameworks such as MCP, LangChain, LlamaIndex, AutoGen or Semantic Kernel. Architect end-to-end agent workflows that include reasoning, planning, and tool usage. Integrate AI agents with APIs, databases, cloud services (AWS, Azure, GCP), and enterprise applications. Fine-tune and optimize LLMs for task-specific use cases (RAG, prompt engineering, evaluation). Implement Observability, safety, and guardrails for AI agents (feedback loops, alignment). Work closely with product, data science, and engineering teams to deliver AI-powered solutions. Contribute to research and PoCs around emerging Agentic AI patterns and frameworks. Optimize AI agent performance for memory, latency, scalability, and cost efficiency. Required Skills & Qualifications 5+ years of Software/AI development experience with at least 2+ years in GenAI. Strong programming skills in Python/JavaScript (experience with FastAPI, Flask, or Node.js is a plus). Hands-on expertise with LLMs (OpenAI GPT, Claude, Llama, Mistral, etc.). Experience with LangChain, LlamaIndex, CrewAI, AutoGen, MCP or similar agentic frameworks. Cloud deployment experience (AWS SageMaker, Azure AI, or GCP Vertex AI). Understanding of prompt engineering, fine-tuning, and model evaluation. Familiarity with MLOps practices (CI/CD for AI, model monitoring). Good problem-solving and analytical skills. Qualifications Educational qualification: Bachelor’s degree in Computer Science, IT, or related field. Experience : 5+ years of Software/AI development experience with at least 2+ years in GenAI. Mandatory/requires Skills : Generative AI, LLMs, multi-agent orchestration frameworks, RAG, and Cloud Integration Preferred Skills :

Responsibilities

The role involves designing and implementing autonomous AI agents using LLMs and developing multi-agent systems. The engineer will integrate AI agents with various services and optimize their performance for efficiency.