Platform Engineer, AI

Space is a war fighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space‑based interceptors—enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

• Be the offset. We create asymmetric advantages with creativity and ingenuity.
• What would it take? We challenge assumptions to deliver ambitious results.
• It’s the people. Our team is our competitive advantage and we are better together.

At True Anomaly, we’re building the next generation of space defense. AI‑assisted work is the biggest force multiplier available to a company at our stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real.

As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is a building role, not a research role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.

• Lead the design of AI platform infrastructure that will be rolled out across the enterprise. Work with stakeholders across business functions to gather requirements, evaluate technical tradeoffs, and reach consensus.
• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on‑premises compute environments as needed.
• Develop custom AI‑powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools.
• Own technical evaluation and selection of AI providers, tools, and platforms, making build‑vs‑buy decisions based on capability, compliance requirements, and speed to value.
• Act as a mentor and role model for other engineers on the team to support their growth.
• Contribute to AI training and enablement programs for the company, including hands‑on workshops, office hours, documentation, and shared resources that help teams build real fluency.
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels.
• Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company.

• Typically 8+ years of software engineering, Dev Ops, or cloud engineering experience with a track record of technical leadership, including owning roadmaps, making architectural decisions, and mentoring engineers.
• Strong software engineering or similar background with experience building and shipping production systems, ideally in Python, Type Script, or similar languages common in AI/ML tooling.
• Experience using the latest AI‑powered development tools to deliver production code and automate routine tasks.
• Experience with large language model APIs, including prompt engineering, tool use, retrieval‑augmented generation (RAG), or agent frameworks such as CrewAI or Pydantic AI.
• Demonstrated ability to work across a broad technical surface area, context‑switching between infrastructure, application development, and platform architecture. Ability to work across teams to understand requirements and seek consensus.
• Demonstrated experience owning technical roadmaps and making architectural decisions that affect multiple teams or products, including setting technical standards and driving adoption.
• Experience with building and using modern software development lifecycle best practices (CI/CD pipelines, continuous testing, and monitoring).
• Experience deploying and operating production workloads to cloud environments (AWS, Azure, GCP).
• Strong communication skills and…