Senior Software Engineer, Agentic AI

Autodesk Autodesk · Enterprise · California, USA -, AMER - United States - Washington - Offsite +2 · Remote

Senior Software Engineer to design, build, and operate scalable Java microservices for the Product Access platform, with a focus on integrating and extending agentic AI systems for automation, operational workflows, and proactive triage. The role involves end-to-end ownership, including design, development, testing, and production support, with an emphasis on agent-based automation and observability.

What you'd actually do

  1. Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS for the Product Access platform
  2. Own business features and platform initiatives end to end, from requirement analysis through production support, working with product and engineering partners on design, testing, and operational readiness
  3. Enhance system resiliency, reliability, scalability, and security; optimize performance, troubleshoot production issues, and implement engineering best practices across development and delivery pipelines
  4. Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently
  5. Build and extend agentic systems and automation: composable skills, MCP integrations, and knowledge retrieval grounded in runbooks, tickets, and service documentation

Skills

Required

  • 6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production
  • Strong Java and Spring Boot skills
  • solid unit, integration, and system testing
  • strong debugging in local and integrated environments
  • Hands-on experience building or integrating AI-powered systems: agents, LLM-based applications, RAG, or tool-calling workflows
  • Experience with spec-driven development (SDD)
  • Experience with event-driven streaming (Kinesis, Kafka, or equivalent), containers on AWS (Docker, ECS Fargate), CI/CD (Jenkins, GitHub Actions), and core AWS services (Lambda, DynamoDB, messaging, API gateways, logging, monitoring)
  • Strong collaboration and communication skills

Nice to have

  • Proficiency in Python and FastAPI
  • experience building MCP servers or equivalent tool-use frameworks for AI agents
  • Experience with RAG, proactive or event-driven agents, and applying agentic AI to engineering workflows, operational automation, or DevOps
  • Experience designing LLM evaluation frameworks, multi-agent patterns, and human-in-the-loop review gates
  • Familiarity with high-volume event pipelines (Kinesis/Kafka streaming, REST publish, SNS/SQS/DLQ patterns), Gradle or Maven, OpenTelemetry, and AI tracing tools (Opik, LangSmith, or equivalent)
  • Understanding of policy-based access control (OPA), authentication for AI systems (OAuth, Entra ID), and Responsible AI practices

What the JD emphasized

  • agent-based automation
  • agentic systems
  • spec-driven development
  • agentic AI

Other signals

  • design, build, and operate resilient, scalable, high-performing services
  • agent-based automation for engineering and operational workflows
  • Build and extend agentic systems and automation
  • Deliver proactive triage and write-action automation with human-in-the-loop gates
  • Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability