Unity Developer (AI forward)

Marvik•Colorado Springs, CO

About The Position

Join as a Unity Developer to build AI full-stack solutions and shape an engineering culture that values autonomy, creativity, and technical excellence. This role involves a central position in defining future products, taking end-to-end ownership of the agentic AI layer, and utilizing AI-assisted development as a primary practice. The company uses a modern, multi-cloud stack (MongoDB + SQL, Azure + AWS) and offers significant influence over architecture, technical standards, and engineering culture. It's a high-bar technical environment where architectural decisions impact multiple teams and products.

Requirements

6+ years of professional software development experience, including production ownership of customer-facing features.
Full-stack engineering experience: Demonstrated production experience shipping across the full stack. Comfort with at least one statically-typed backend language, at least one modern frontend framework, and both NoSQL and SQL data stores.
Strong proficiency in C#/.NET, or the ability to ramp on it quickly.
Hands-on production experience building and shipping Unity (C#) applications, including scene/prefab architecture, component lifecycle, input and UI, performance, and editor/runtime split.
Experience integrating a Unity client with backend services (auth, data sync, publishing).
Demonstrated experience writing and maintaining automated tests with the Unity Test Framework (NUnit), including PlayMode integration tests and EditMode unit tests, and running them in CI.
Strong debugging skills to trace issues through complex systems, reproduce edge cases, and identify root causes.
Hands-on use of AI-assisted development tooling (Claude Code, Cursor, Copilot, or equivalent) as part of the daily workflow, with clear judgment on AI output.
Working understanding of CI/CD pipelines and optimizing DevEx for a dev team.
Understanding of SOLID, DRY, KISS, YAGNI, and TDD principles and their application.
Working understanding of security best practices and safe handling of PII/sensitive data.
Excellent communication skills, with the ability to work directly with product managers, designers, and customers.
Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Advanced English proficiency.

Nice To Haves

Customer-facing AI experience, building production agentic workflows (multi-step planning, tool calling, structured outputs, retrieval), and the evals, guardrails, and observability that make them safe to ship.
Familiarity with an agent framework or SDK (e.g., Claude Agent SDK, OpenAI Agents SDK, LangGraph) or with MCP.
Mobile deployment experience with Unity, iOS/Android build pipelines, device performance, and app-store release management.
Familiarity working with data derived from CAD/BIM or other 2D/3D model sets, or 3D rendering and visualization experience.
Experience deconstructing monoliths into modular or service-oriented architectures, and with event-driven or message-based integration.
Domain knowledge of MEP, BIM, or construction fabrication workflows, or an AEC engineering background.

Responsibilities

Build and maintain Unity (C#) field applications for sketching, configuring, and publishing pipe, duct, and other MEP work from the jobsite.
Write production Unity code covering scene and prefab architecture, component lifecycle, input handling, UI, performance, and the editor/runtime split.
Own the client-to-cloud integration path, including login, publishing, and data sync between the Unity client and Stratus services, ensuring fidelity and error handling.
Build and maintain automated tests using the Unity Test Framework (NUnit), including PlayMode integration tests and EditMode unit tests, to reduce stack-transfer fragility.
Ship features and customer-facing enhancements across the full stack (backend services, APIs, data, web front end), based on product specs and customer feedback.
Design and build services and APIs that connect the web platform and cloud data.
Investigate and fix customer-reported bugs by tracing issues across client, service, and data layers.
Implement and maintain modern automated testing (unit, integration, end-to-end) and contribute to monolith decomposition and modernization.
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 judgment on AI output.
Collaborate with product managers, designers, and customer-facing teams to define, design, scope, and ship features, grounding technical decisions in real workflows.
Coordinate deployments and incident response with peers, advocating for incremental delivery.
Share knowledge and raise the engineering bar through code review and pragmatic best practices.