Senior Software Engineer, Agentic AI

Position Overview
We are seeking an experienced Senior Software Engineer to design, build, and operate resilient, scalable, high-performing services for the Product Access platform, which supports the access experience for millions of Autodesk users worldwide.

You will own end-to-end solution design and delivery across the full engineering lifecycle and use spec-driven development and agentic systems to build, operate, and support Product Access in production, including agent-based automation for engineering and operational workflows. This role includes shared production on-call responsibilities as part of end-to-end service ownership.

You will report to the Senior Engineering Manager and collaborate closely with Product Managers, Architects, Domain Leads, and cross-functional stakeholders across Product Access and beyond.

Responsibilities

• Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS for the Product Access platform

• 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

• Enhance system resiliency, reliability, scalability, and security; optimize performance, troubleshoot production issues, and implement engineering best practices across development and delivery pipelines

• Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently

• Apply spec-driven development in platform and feature delivery

• Build and extend agentic systems and automation: composable skills, MCP integrations, and knowledge retrieval grounded in runbooks, tickets, and service documentation

• Deliver proactive triage and write-action automation with human-in-the-loop gates where required, progressing toward autonomous design-to-delivery workflows

• Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability across agents and services

• Provide production support; lead incident response and root cause analysis; participate in a shared on-call rotation for production systems, including support outside standard business hours per team schedule; mentor engineers and uphold sound engineering practices

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience

• 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; effective in small teams with shared end-to-end ownership of design, delivery, and production support

Preferred Qualifications

• 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

Technologies we use

• Platform: Java, Spring Boot; Python, FastAPI (agentic); AWS (ECS Fargate, Lambda, DynamoDB, SQS, API Gateway, CloudWatch, OpenSearch); Docker; GitHub; Jenkins / GitHub Actions; Gradle / Maven

• Streaming & events: