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 such as RAG, tool calling, agents, and multi-step workflows
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 (offline tests, regression checks, retrieval scoring, and reliability checks)
Defining what “good” looks like using clear metrics (e.g., success rate, latency, cost, failure modes) and using those metrics to drive iteration
Implementing fallback, recovery, and human-escalation mechanisms for failure scenarios where appropriate
Instrumenting AI services for tracing, logging, cost signals, and feedback loops to improve quality and reliability over time
Contributing to operational dashboards and alerting patterns to support debugging and production learning cycles
Contributing to reusable foundations: templates, CI/CD hooks, reference implementations, and integration patterns that make safe AI delivery repeatable
Partnering with platform and security collaborators to embed security, access control, and compliance requirements into paved paths
Building and integrating cloud-native AI components on major platforms (AWS and Azure)

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
Experience working in supervised enterprise environments and applying privacy/security controls by design

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

AI Software Engineer (GenAI & Agentic Systems)

Skills Required

Description