Senior Software Engineer - Agentic AI
Autodesk · Pune · 8+ yrs experience · Posted 2026-07-18
Tech stack: AWS, Node.js, Python, Terraform, TypeScript
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About the role
Autodesk is building a modern AI enabled application platform that delivers a cohesive, unified experience across its products—enhancing how users and internal teams work within a workflow-driven environment.
To support this vision, we are expanding our Pune team to develop scalable services and core platform capabilities used across products. In this role, you will drive architectural decisions, establish engineering best practices, and deliver high-impact, long-term initiatives that strengthen the platform’s reliability, resiliency, and scalability.
Responsibilities:
- Drive the technical vision and architecture for large-scale, distributed collaboration systems
- Diagnose complex system issues and deliver iterative, well-designed solutions
- Participate in and lead design and code reviews, upholding engineering best practices
- Automate cloud infrastructure, CI/CD pipelines, testing, and observability
- Provide technical leadership and mentor engineers while fostering an inclusive, collaborative team culture
Qualifications:
- 6–8 years of experience designing and building large-scale, backend distributed systems in cloud environments
- Strong proficiency in Node.js/ TypeScript/ Python, with a focus on writing high-quality, maintainable, and testable code
- Deep experience with AWS, including cloud-native services,
- infrastructure-as-code,
- containers, and automation (e.g., Terraform, CI/CD)
- Solid understanding of distributed system fundamentals, NoSQL databases, and non-functional requirements such as performance, scalability, and resiliency
- Proven ability to operate effectively in Agile environments, contribute to technical design discussions, and make sound, data-driven engineering decisions
- Bachelor’s degree in computer science/engineering (or equivalent practical experience
- Experience building AI-assisted or workflow automation features (including agent-style workflows)
- Exposure to Amazon Bedrock, SageMaker, or other ML/LLM platforms
- Familiarity with LLM application patterns (tool calling, RAG, evaluation, guardrails)
- LI-Hybrid
- Experience building AI-assisted or workflow automation features (including agent-style workflows)
- Exposure to Amazon Bedrock, SageMaker, or other ML/LLM platforms
- Familiarity with LLM application patterns (tool calling, RAG, evaluation, guardrails)
- LI-Hybrid
Qualifications
- 6–8 years of experience designing and building large-scale, backend distributed systems in cloud environments
- Strong proficiency in Node.js/ TypeScript/ Python, with a focus on writing high-quality, maintainable, and testable code
- Deep experience with AWS, including cloud-native services infrastructure-as-code containers, and automation (e.g., Terraform, CI/CD)
- Solid understanding of distributed system fundamentals, NoSQL databases, and non-functional requirements such as performance, scalability, and resiliency
- Proven ability to operate effectively in Agile environments, contribute to technical design discussions, and make sound, data-driven engineering decisions
- Bachelor’s degree in computer science/engineering (or equivalent practical experience Experience building AI-assisted or workflow automation features (including agent-style workflows)
- Exposure to Amazon Bedrock, SageMaker, or other ML/LLM platforms
- Familiarity with LLM application patterns (tool calling, RAG, evaluation, guardrails)
- LI-Hybrid Experience building AI-assisted or workflow automation features (including agent-style workflows)
- LI-Hybrid
Responsibilities
- Drive the technical vision and architecture for large-scale, distributed collaboration systems
- Diagnose complex system issues and deliver iterative, well-designed solutions
- Participate in and lead design and code reviews, upholding engineering best practices
- Automate cloud infrastructure, CI/CD pipelines, testing, and observability
- Provide technical leadership and mentor engineers while fostering an inclusive, collaborative team culture