Senior Software Engineer with AI plus Revit

Stratus offers advanced MEP specific solutions and is seeking a Senior Software Engineer with AI plus Revit to build the customer-facing AI layer for their products. The role involves designing multi-agent workflows, integrating with Revit, and ensuring the safety and reliability of AI systems.

Responsibilities:

• Design and build customer-facing agentic workflows: multi-agent orchestration (e.g., LangGraph, CrewAI, AutoGen), tool calling, structured outputs, multi-step planning, and human-in-the-loop checkpoints, to automate complex MEP engineering tasks
• Establish evaluation, guardrails, and failure-mode analysis for agent systems — including offline eval suites in CI and live production sampling — to ensure they are safe, reliable, and grounded
• Build the tool and context layer connecting agents to Stratus data via internal and customer-facing APIs (e.g., MCP), including context-window management, permissioning, and cost control
• Set up observability and tracing for agent behavior; diagnose cost, latency, and hallucination issues in production
• Integrate Stratus's published design and fabrication data into agent workflows
• Build and maintain the Revit-side integrations that feed the AI layer — the add-ins and publishing paths that move design and fabrication data out of our customers' Autodesk Revit environment and into Stratus
• Write production C#/.NET code against the Revit API: custom commands, external events, document and transaction management, and integration with Autodesk model data
• Own the fidelity, mapping, validation, and error handling that keep Revit data exports trustworthy enough for agents to reason over
• Solve the hard problems specific to Revit add-in development — version compatibility, performance inside large models, the API threading model, and graceful degradation when the host environment misbehaves
• Use AI-assisted development tooling (Claude Code, Cursor, Copilot, etc.) as a first-class part of the dev loop — writing tests for AI-generated changes and exercising clear judgment about when AI output is ready to ship
• Collaborate with product managers, designers, and customer-facing teams to scope, design, and ship — grounding technical decisions in real design and fabrication workflows
• Perform requirements analysis with stakeholders, ensuring solutions meet immediate product goals and longer-term objectives
• Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
• Share knowledge and raise the engineering bar through code review and pragmatic best practices

Requirements:

• 6+ years of software engineering experience, with a proven track record of shipping and operating production-grade systems — not just prototypes or notebooks
• Primary — AI engineering: Hands-on experience building and operating customer-facing agentic systems in production — orchestration frameworks (LangGraph, CrewAI, or AutoGen), tool calling, structured outputs, and eval frameworks. Experience with evals, guardrails, and observability for LLM or agent systems
• Secondary — Revit API: Hands-on production experience building Revit add-ins and working within the realities of the Revit API — the document and transaction lifecycle, external events, the threading model, version compatibility, and performance inside large models
• Strong proficiency in C#/.NET, with demonstrated production ownership of real features
• Experience with MCP or similar tool-integration protocols
• Strong computer science fundamentals (data structures, algorithms, system design) and solid API/backend engineering depth
• Hands-on use of AI-assisted development tooling (Claude Code, Cursor, Copilot, or equivalent) as a first-class part of your daily workflow, with clear judgment about when AI output ships, needs rework, or should be thrown away
• Excellent communication skills — able to explain complex AI systems clearly to teammates, product partners, and customers
• Comfort working in newly forming, ambiguous areas where learning and adaptability are key
• Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Familiarity working with data derived from CAD/BIM or other 2D/3D model sets
• Working familiarity with the broader Autodesk application family (e.g., AutoCAD, Fabrication, BIM 360 / ACC, Navisworks) and the Autodesk Platform Services ecosystem (formerly Forge) — Data Management, Model Derivative, Design Automation, or related APIs
• Desktop application development experience — including installers (MSIs) and managing packaging, deployment, and updates across customer environments
• Familiarity with machine learning concepts and how data is represented for training
• Domain knowledge of MEP, BIM, or construction fabrication workflows, or an architectural/AEC engineering background
• Full-stack development experience beyond the desktop application
• Background in customer-facing or professional-services roles
• Drive to continually learn new technologies and seek new ways to solve hard problems
• Bias toward putting your ideas out there and failing fast