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    Home/Jobs/AI Software Engineer (GenAI & Agentic Systems)

    AI Software Engineer (GenAI & Agentic Systems)

    Siemens

    Pune
    3-5 years
    45 days ago
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Python
    Git
    CI/CD
    AWS
    Azure
    Amazon Bedrock AgentCore
    Amazon Bedrock Knowledge Bases
    Microsoft Foundry
    Foundry Tools

    Description

    Siemens Digital Industries Software is seeking an AI Software Engineer to join the CApS AI Engineering team. The ideal candidate will help build and productionize embedded AI capabilities across CApS, delivering solutions that are secure, scalable, measurable, and operationally ready.

    Company: Siemens Industry Software (India) Private Limited

    Role: AI Software Engineer (GenAI & Agentic Systems)

    Location: Pune - Maharashtra - India

    Experience:

    • Bachelor's or master's degree in computer science, AI, Software Engineering, or a related technical field (or equivalent practical experience)
    • Experience working in an Agile or otherwise well-defined engineering workflow (e.g., Scrum/Kanban) with clear backlog field, incremental delivery, and strong engineering hygiene
    • Experience working with at least one major cloud platform (AWS or Azure) in a production engineering context, including deploying and operating AI-enabled services

    Key Skills:

    • Python
    • Large Language Models (LLMs)
    • RAG (retrieval, chunking/context strategies, and retrieval quality evaluation)
    • Agents/tool calling and multi-step orchestration
    • Git and modern collaboration workflows (branching strategies, merge requests, code reviews, conflict resolution)
    • CI/CD-driven delivery

    Qualification:

    • Bachelor’s or master’s degree in computer science, AI, Software Engineering, or a related technical field

    Role Focus: • Designing & delivering embedded AI capabilities (copilots, agents, workflows) • Designing and implementing AI features using validated patterns • Integrating AI capabilities into existing services and applications via APIs and well-structured backend components • Ensuring AI features are scalable, high-performance, and aligned with enterprise expectations • Productionising AI (from intake to operation) • Defining operational readiness (runbooks, monitoring, rollout strategies) and supporting production incidents and solving when needed • Developing and delivering evaluation plans and test harnesses for AI systems • Defining what “good” looks like using clear metrics • Implementing fallback, recovery, and human-escalation mechanisms for failure scenarios where appropriate • Instrumenting AI services for tracing, logging, cost signals, and feedback loops

    Nice to have:

    • Proven, day-to-day use of Claude Code (or equivalent agentic AI-assisted coding workflows)
    • Hands-on experience with handled GenAI/agent and retrieval services on cloud platforms
    • Experience with orchestration frameworks (e.g., LangChain, Semantic Kernel, PydanticAI, or similar)
    • Experience with vector stores / semantic retrieval systems and embedding strategies
    • Experience with observability stacks and distributed tracing for AI services
    • Experience operating services in a production environment with performance, reliability, and security expectations

    Other:

    • Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here
    • We offer great benefits and rewards, as you'd expect from a world leader in industrial software
    • A collection of over 377,000 minds building the future, one day at a time in over 200 countries
    • We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we Work in

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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