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Principal Developer, AI/ML

Autodesk

Principal Developer, AI/ML

Autodesk

Bengaluru, IND

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Equity

Required Skills

Python

Cloud-Native Development

Machine Learning

LLMs

System Design

Job Requisition ID

26WD95300

Position Overview

If you love building real systems that real customers use—and you get genuinely excited about LLMs, RAG, MCP, and agentic architectures—this role is for you. The Applied AI team in Autodesk’s Data and Process Management (DPM) organization ships Cloud-Native AI agents that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier. This is a hands-on engineering role where you’ll design core platform patterns and also write code that lands in production.

We’re looking for a modern builder: Ambitious, Curious, and Practical—someone who has already shipped Scalable, Cloud-Native AI Applications to production and wants to level up further. You might have expertise in GenAI Applications, or you might have shipped traditional Machine Learning applications (recommendations, forecasting, anomaly detection) at scale and are ready to go all-in on agentic architectures. Either way, you build for reliability, quality, and impact.

AI-assisted engineering (how we deliver): We use modern AI coding agents (e.g., Cursor Agent, Claude Code, Codex or similar) as accelerators for planning, implementation, debugging, and documentation—but you own correctness, security, and maintainability.

Responsibilities

  • Lead the design and delivery of cloud-native Agentic AI applications that are  resilient, performant, and can scale well in production

  • Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints

  • Establish, Implement evaluation observability standards (regression tests, monitoring, feedback loops)

  • Design frameworks and tools that make it easier for other teams to develop AI-powered experiences

  • Establish best practices for Agentic experimentation, evaluation, and optimization in high throughput environments

  • Partner with product managers, architects, developers, and data scientists to bring AI features to life in Autodesk products

  • AI-assisted delivery: Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage

Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience

  • 7 years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)

  • 3 years

of hands-on experience of delivering AI/ML-powered system in production . This can include: •Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration), and/or

  • LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models)

  • Experience with MCP or similar standardized patterns for connecting models to tools and context

  • Experience with deploying and maintaining AI Applications in production reliably, monitoring performance, and improving over time

  • Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)

  • Strong communication skills: you can explain tradeoffs clearly and influence decisions

  • Demonstrated experience using AI coding tools to ship production systems, and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness)

Preferred Qualifications

  • Experience building AI applications in the CAD or manufacturing domain

  • Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud

  • Experience with deep learning architectures (e.g., Transformers) and modern ML frameworks such as Py Torch**, Lightning, and Ray**

  • Hands-on experience with AWS and Sage Maker for scalable training and deployment

  • Contributions to open-source AI projects or publications in the field

  • Experience with emerging Agentic AI solutions such as Lang Graph, CrewAI, A2A, Opik Comet, or equivalents

Learn More About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Autodesk

Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries.

10,001+

Employees

San Francisco

Headquarters

$50B

Valuation

Reviews

3.9

10 reviews

Work Life Balance

4.2

Compensation

3.5

Culture

4.0

Career

3.2

Management

3.1

72%

Recommend to a Friend

Pros

Great work-life balance

Strong company culture and team environment

Competitive compensation and benefits

Cons

Recent layoffs and job security concerns

Poor management in some teams

Limited career advancement and promotion opportunities

Salary Ranges

1,443 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Business Intelligence Analyst

2 reports

$131,955

total / year

Base

$101,504

Stock

-

Bonus

-

$131,955

$131,955

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit