Senior Software Developer (Applied GenAI – DevX)
7 Minutes ago • 5 Years +
Programming
Job Description
As a Senior Software Developer on the Fusion platform services team within Product Development and Manufacturing Solutions (PDMS), you'll be part of a team of technologists dedicated to creating cutting-edge AI and generative AI solutions that enhance developer productivity and experience. You'll work closely with AI engineers, software architects, and product engineering teams to build intelligent agentic systems that understand code, predict developer needs, and automate complex development tasks, seamlessly integrating with tools like GitHub Copilot with IDEs such as VS Code and Cursor. Responsibilities include developing and orchestrating multi-agent AI systems for automated code review, test generation, continuous integration, and end-to-end development workflow optimization using frameworks like LangGraph and AutoGen, designing agentic workflows, working with extensive code datasets, building evaluation frameworks, developing statistical models, and deploying models in production.
Good To Have:
- Background in software engineering or close collaboration with development teams.
- Familiarity with software development lifecycle tools (e.g., Git, GitHub/GitLab APIs, CI/CD pipelines).
- Knowledge of human-computer interaction principles and developer experience best practices.
- Experience with vector databases and embedding strategies for code search and similarity.
- Proficiency in multiple programming languages (Java, C++ or Python).
- Hands-on experience with agentic AI frameworks and evaluation frameworks.
- Knowledge of code analysis tools and techniques (e.g., AST parsing or Tree-sitter).
- Research publications or contributions to open-source projects in code intelligence or developer productivity.
- Experience with Azure AI Foundry/ML or AWS cloud ML platforms.
Must Have:
- Develop and orchestrate multi-agent AI systems for automated code review, test generation, continuous integration, and end-to-end development workflow optimization.
- Design and implement agentic workflows that coordinate multiple AI agents for complex development tasks.
- Work with extensive code datasets, developer interaction data, and multi-modal development artifacts.
- Build comprehensive evaluation frameworks and custom benchmarks for agentic systems, through A/B testing and specialized tools.
- Develop statistical models for developer behavior analysis, workflow optimization, and productivity measurement.
- Deploy models in production while adhering to responsible AI principles and Autodesk model governance standards.
- MS/PhD in Computer science, Machine Learning, or a related applied AI field.
- 5+ years of experience in machine learning with a focus on NLP, code analysis, or developer tools.
- Expertise in Python and ML frameworks (PyTorch, Transformers, scikit-learn).
- Experience with Large Language Models and code generation models.
- Knowledge of AI evaluation methodologies and specific metrics for code generation.
- Strong foundation in statistical analysis, experimental design, and A/B testing.
- Proven ability to build end-to-end ML solutions, from research to production.
- Experience with developer workflow and productivity measurement frameworks.
Perks:
- Competitive compensation package
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
- Culture of belonging
- Meaningful work that helps build a better world
Position Overview
As a Senior Software Developer on the Fusion platform services team within Product Development and Manufacturing Solutions (PDMS), you'll be part of a team of technologists dedicated to creating cutting-edge AI and generative AI solutions that enhance developer productivity and experience. You'll work closely with AI engineers, software architects, and product engineering teams to build intelligent agentic systems that understand code, predict developer needs, and automate complex development tasks, seamlessly integrating with tools like GitHub Copilot with IDEs such as VS Code and Cursor.
Responsibilities
- Develop and orchestrate multi-agent AI systems for automated code review, test generation, continuous integration, and end-to-end development workflow optimization using frameworks like LangGraph and AutoGen
- Design and implement agentic workflows that coordinate multiple AI agents for complex development tasks, ensuring seamless integration with existing developer tools
- Work with extensive code datasets, developer interaction data, and multi-modal development artifacts (code, documentation, UI) from integrated productivity tools
- Build comprehensive evaluation frameworks and custom benchmarks for agentic systems, through A/B testing and specialized tools like AgentBench and Langfuse
- Develop statistical models for developer behavior analysis, workflow optimization, and productivity measurement with measurable KPIs
- Deploy models in production while adhering to responsible AI principles and Autodesk model governance standards, and mentor junior software AI engineers
Minimum Qualifications
- MS/PhD in Computer science, Machine Learning, or a related applied AI field
- 5+ years of experience in machine learning with a focus on NLP, code analysis, or developer tools
- Expertise in Python and ML frameworks (PyTorch, Transformers, scikit-learn)
- Experience with Large Language Models and code generation models
- Knowledge of AI evaluation methodologies and specific metrics for code generation
- Strong foundation in statistical analysis, experimental design, and A/B testing
- Proven ability to build end-to-end ML solutions, from research to production
- Experience with developer workflow and productivity measurement frameworks
Preferred Qualifications
- Background in software engineering or close collaboration with development teams
- Familiarity with software development lifecycle tools (e.g., Git, GitHub/GitLab APIs, CI/CD pipelines)
- Knowledge of human-computer interaction principles and developer experience best practices
- Experience with vector databases and embedding strategies for code search and similarity
- Proficiency in multiple programming languages (Java, C++ or Python)
- Hands-on experience with agentic AI frameworks and evaluation frameworks
- Knowledge of code analysis tools and techniques (e.g., AST parsing or Tree-sitter)
- Research publications or contributions to open-source projects in code intelligence or developer productivity
- Experience with Azure AI Foundry/ML or AWS cloud ML platforms
The Ideal Candidate
- Passionate about improving developer productivity through innovative AI solutions
- Comfortable working in ambiguous, rapidly evolving areas
- Effective collaborator with engineers and stakeholders to drive outcomes
- Constant learner of new technologies in AI and developer tools
- Approach problems with curiosity, iterate quickly, and aren't afraid to experiment
Learn More
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
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