Principal Developer, Ai/ml

Autodesk Autodesk · Enterprise · Bangalore, India

Autodesk is seeking a Principal Developer for their Applied AI team to design and deliver cloud-native AI agents for PDM/PLM workflows. This hands-on engineering role involves building scalable AI applications, fine-tuning LLMs, establishing evaluation standards, and developing frameworks for other teams. The ideal candidate has significant experience in shipping production AI/ML systems, including traditional ML or LLM-based systems, and proficiency in Python/TypeScript/Java.

What you'd actually do

  1. Lead the design and delivery of 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. Balance performance, cost, and user experience while working with real-world data and constraints
  3. Establish, Implement evaluation + observability standards (regression tests, monitoring, feedback loops)
  4. Design frameworks and tools that make it easier for other teams to develop AI-powered experiences
  5. Establish best practices for Agentic experimentation, evaluation, and optimization in high throughput environments

Skills

Required

  • 7+ years building cloud-native software in production
  • 3+ 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
  • Strong engineering fundamentals (testing, code quality, performance, security)
  • Strong communication skills
  • Demonstrated experience using AI coding tools to ship production systems

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
  • Experience 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 AI agents
  • Demonstrated experience using AI coding tools to ship production systems

Other signals

  • shipping production AI agents
  • cloud-native AI applications
  • LLMs, RAG, MCP, agentic architectures