Software Developer on Fusion platform creating AI solutions in Autodesk's Product Development and Manufacturing Solutions. Collaborating with engineers and architects for intelligent agentic systems development.
Responsibilities
Develop and orchestrate multi-agent AI systems for automated test generation, test execution, and end-to-end development workflow optimization using frameworks like LangGraph, AutoGen, or the Anthropic Agent SDK (Claude Code)
Design and implement agentic workflows that coordinate multiple AI agents to autonomously drive test automation across UI, API, integration, and system levels
Build evaluation frameworks and custom benchmarks for agentic systems, including comparisons of AI agents against commercial solvers
Evaluate MCP server and tool performance across agentic pipelines, measuring latency, accuracy, context fidelity, and end-to-end task completion rates
Requirements
BS/MS in Computer Science, Machine Learning, or related applied AI field
Expertise in Python and ML frameworks (PyTorch, Transformers, scikit-learn)
Experience with Large Language Models applied to software understanding or test generation
Knowledge of AI evaluation methodologies and metrics for agentic task completion and test quality
Strong foundation in statistical analysis and experimental design
Experience with developer workflow and productivity measurement frameworks
Background in software engineering or QA with close collaboration with development teams (preferred)
Familiarity with test automation frameworks (e.g., Playwright, Selenium, Pytest, Appium) and CI/CD pipelines (preferred)
Experience designing benchmarks that compare AI agents against commercial or domain-specific solvers (preferred)
Hands-on experience with MCP (Model Context Protocol) within agentic pipelines (preferred)
Knowledge in vision-language models or multi-modal AI for UI and system-level understanding and evaluation (preferred)
Experience with Azure AI Foundry/ML or AWS cloud ML platforms (preferred)
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