Senior Software Developer, Ai/ml

Autodesk Autodesk · Enterprise · Bangalore, India

Senior Software Developer focused on building and shipping production-grade cloud-native Agentic AI applications for Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows. The role involves designing core platform patterns, writing production code, fine-tuning and deploying LLMs, implementing evaluation and observability standards, and integrating agents with internal/external services using MCP-based integrations. Requires strong software engineering fundamentals and hands-on experience delivering AI/ML systems in production, particularly LLM-based systems like RAG and agentic architectures.

What you'd actually do

  1. Build and ship production-grade cloud-native Agentic AI applications that are resilient, performant, and can scale well in production
  2. Fine-tune, evaluate, and deploy large language models in production environments
  3. Implement evaluation + observability standards (regression tests, monitoring, feedback loops)
  4. Integrate agents with internal/external services using MCP-based integrations or equivalent tool/context integration patterns
  5. Partner with product managers, architects, developers, and data scientists to bring AI features to life in Autodesk products

Skills

Required

  • 5+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)
  • 2+ years of hands-on experience of delivering AI/ML-powered system in production
  • Experience with MCP or similar standardized patterns for connecting models to tools and context
  • Experience with deploying and maintaining AI Applications in production reliably, monitoring performance, and improving over time
  • Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)
  • Excellent technical writing and communication skills

Nice to have

  • Experience building AI applications in the CAD or manufacturing domain
  • Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud
  • Familiarity with deep learning architectures (e.g., Transformers) and modern ML frameworks such as PyTorch, Lightning, and Ray
  • Hands-on experience with AWS and SageMaker for scalable training and deployment
  • Contributions to open-source AI projects or publications in the field
  • Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents

What the JD emphasized

  • shipped Scalable, Cloud-Native AI Applications
  • shipping production-grade cloud-native Agentic AI applications
  • Demonstrated experience using AI coding tools to ship production systems

Other signals

  • shipping production-grade cloud-native Agentic AI applications
  • fine-tune, evaluate, and deploy large language models in production
  • integrate agents with internal/external services using MCP-based integrations
  • delivering AI/ML-powered system in production
  • LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models)