Senior Software Engineer - Agentic AI

Hire Today; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Autodesk is seeking a highly skilled engineer to join its AI platform team in Pune. You will design large-scale distributed systems, architect cloud-native backends, and develop Agentic AI capabilities powering next-generation workflow-driven applications.

The role involves automating CI/CD pipelines, improving reliability, and mentoring engineers in a fast-paced, Agile environment. We expect strong expertise in distributed systems, cloud computing, and AI/ML stack, including LLMs, RAG, Bedrock

Qualifications

• Bachelor's degree or equivalent in CS/Engineering.
• Experience with large-scale distributed systems and cloud-native backend design.
• Familiarity with AI/LLMs, RAG, and agentic AI concepts.

Responsibilities

• Design and architect large-scale distributed systems.
• Build cloud-native backend services.
• Develop Agentic AI platform capabilities.
• Automate cloud infrastructure and CI/CD pipelines.
• Improve system reliability, scalability and observability.
• Perform design and code reviews.
• Troubleshoot complex distributed systems.
• Mentor engineers and provide technical leadership.
• Collaborate with cross-functional Agile teams.
• Implement infrastructure as code and engineering best practices.
• Contribute to AI workflow automation initiatives.

Skills

Node.js

TypeScript

Python

AWS

Cloud Computing

Distributed Systems

Infrastructure as Code

Terraform

CI/CD

Docker

NoSQL

Microservices

System Design

Scalability

Observability

Agile

Agentic AI

Generative AI

LLMs

RAG

Amazon Bedrock

SageMaker

Workflow Automation

Technical Leadership

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Equivalent practical experience

Job description

Join Autodesk's AI platform engineering team to build scalable cloud-native services and Agentic AI capabilities powering next-generation workflow-driven applications. Drive architecture, engineering best practices, distributed systems, and AI platform development while mentoring engineers and improving platform reliability and scalability.

Responsibilities

• Design and architect large-scale distributed systems
• build cloud-native backend services
• develop Agentic AI platform capabilities
• automate cloud infrastructure and CI/CD pipelines
• improve system reliability scalability and observability
• perform design and code reviews
• troubleshoot complex distributed systems
• mentor engineers and provide technical leadership
• collaborate with cross-functional Agile teams
• implement infrastructure as code and engineering best practices
• contribute to AI workflow automation initiatives.

Skills required

• Node.js
• TypeScript
• Python
• AWS
• Cloud Computing
• Distributed Systems
• Infrastructure as Code
• Terraform
• CI/CD
• Docker
• NoSQL
• Microservices
• System Design
• Scalability
• Observability
• Agile
• Agentic AI
• Generative AI
• LLMs
• RAG
• Amazon Bedrock
• SageMaker
• Workflow Automation
• Technical Leadership

Minimum Qualifications

• Bachelor's degree in Computer Science
• Bachelor's degree in Engineering
• Equivalent practical experience

Preferred Qualifications

• Experience with Amazon Bedrock or SageMaker
• Experience building AI-assisted applications
• Knowledge of Retrieval-Augmented Generation (RAG)
• Knowledge of LLM tool calling and guardrails
• Experience with workflow automation systems