Senior Software Engineer, Agentic AI

Autodesk; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health Benefits

Financial Benefits

Paid Time Off

Wellness Benefits

Annual Cash Bonuses

Stock Grants

Job summary

Autodesk in Dallas, TX is seeking a senior engineer to design, build, and operate resilient cloud-native Java microservices and distributed systems for the Product Access platform.

You will own features from requirements to production support, develop and govern agentic AI systems, lead delivery and incident response, participate in on-call, and mentor engineers. Candidates should have a bachelor’s degree and at least six years with Java, Spring Boot, AWS, and DevOps practices.

Qualifications

• Requires a bachelor’s degree or higher in computer science, engineering, or a related field, or equivalent practical experience, plus at least six years building and operating Java microservices and serverless architectures.
• Candidates need strong Java and Spring Boot skills, experience with AI-powered systems and spec‑driven development, and familiarity with AWS, event streaming, containers, CI/CD, testing, debugging, and production operations.

Responsibilities

• Design, build, and operate resilient cloud-native Java microservices and distributed systems for Autodesk’s Product Access platform, owning features and initiatives from requirements through production support.
• Develop and govern agentic AI systems and engineering automation, lead delivery and incident response, participate in on-call support, and mentor engineers.

Skills

Java

Spring Boot

AWS

Microservices

Distributed Systems

Agentic AI

LLM Applications

RAG

Spec-Driven Development

Python

FastAPI

MCP Integrations

Event-Driven Streaming

CI/CD

Production Support

Incident Response

Education

Bachelor’s degree or higher in computer science, engineering, or related field

Job description

Design, build, and operate resilient cloud-native Java microservices and distributed systems for Autodesk’s Product Access platform, owning features and initiatives from requirements through production support. Develop and govern agentic AI systems and engineering automation, lead delivery and incident response, participate in on-call support, and mentor engineers.

Requirements:

Requires a bachelor’s degree or higher in computer science, engineering, or a related field, or equivalent practical experience, plus at least six years building and operating Java microservices and serverless architectures. Candidates need strong Java and Spring Boot skills, experience with AI-powered systems and spec‑driven development, and familiarity with AWS, event streaming, containers, CI/CD, testing, debugging, and production operations.

Key Skills:

• Java
• Spring Boot
• AWS
• Microservices
• Distributed Systems
• Agentic AI
• LLM Applications
• RAG
• Spec-Driven Development
• Python
• FastAPI
• MCP Integrations
• Event-Driven Streaming
• CI/CD
• Production Support
• Incident Response

Benefits:

• Health Benefits
• Financial Benefits
• Paid Time Off
• Wellness Benefits
• Annual Cash Bonuses
• Stock Grants