Autodesk

Senior Software Engineer – Applied GenAI, DevX

Autodesk

full-time

Posted on:

Origin:  • 🇵🇱 Poland

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Job Level

Senior

Tech Stack

AWSAzureJavaJavaScriptPythonPyTorchReactTypeScript

About the role

  • Design and Build Advanced Agentic AI Systems: Develop and orchestrate multi-agent AI workflows for tasks like automated code review, test generation, CI/CD, and full development lifecycle optimization using frameworks like LangGraph and AutoGen
  • Ensure smooth integration of these agentic systems with existing developer tools
  • Data Engineering and Evaluation: Work with large-scale code datasets, developer interaction data, and multi-modal assets (code, docs, UI) from integrated productivity tools
  • Build evaluation frameworks and benchmarks for agentic systems using A/B testing and tools such as AgentBench and Langfuse
  • Modeling and Agentic Intelligence: Create statistical models to analyze developer behavior, optimize workflows, and measure productivity with clear KPIs
  • Deploy models to production, ensuring alignment with responsible AI practices and Autodesk governance standards
  • Mentor junior engineers on best practices in AI and software development

Requirements

  • MS/PhD in Computer Science, Machine Learning, or related field
  • 5+ years experience in ML, with focus on NLP, code intelligence, or developer tools
  • Strong expertise in Python, PyTorch, Transformers, and related ML frameworks
  • Hands-on experience with Large Language Models and code generation models
  • Deep knowledge of AI evaluation methods and code-specific metrics
  • Strong background in statistical analysis, A/B testing, and experimental design
  • Proven track record delivering end-to-end ML solutions, from research to production
  • Experience with developer productivity and workflow optimization frameworks
  • Background in software engineering or close collaboration with dev teams (preferred)
  • Familiarity with Git, GitHub/GitLab APIs, CI/CD pipelines (preferred)
  • Understanding of developer experience and HCI principles (preferred)
  • Experience with vector databases, embeddings for code search and similarity (preferred)
  • Proficiency in multiple languages (Java, C++, Python) (preferred)
  • Hands-on experience with agentic AI frameworks and evaluation tools (preferred)
  • Knowledge of code analysis tools (e.g., AST parsing, Tree-sitter) (preferred)
  • Contributions to research or open-source projects in code intelligence or productivity (preferred)
  • Experience with Azure AI Foundry/ML or AWS ML platforms (preferred)
  • Passionate about improving developer productivity through AI innovation
  • Thrives in ambiguous, fast-evolving environments
  • Strong collaborator and problem-solver, curious and experimental by nature
  • Committed to continuous learning and pushing the boundaries of AI and developer tools