Staff Platform Engineer, AI
True Anomaly3 months ago
Denver, CO, USAStaff+
Base Salary
$200k - $330k/yr
Responsibilities
- Lead the design and enterprise rollout of AI platform infrastructure by gathering stakeholder requirements, evaluating tradeoffs, and building consensus.
- Build and maintain AI platform infrastructure including API integrations, model access pipelines, system connectors using MCP and tool use, and on-premises compute environments as needed.
- Develop custom AI-powered applications, workflows, and integrations connecting frontier models to project management, documentation, communications, and operational systems.
- Own evaluation and selection of AI providers, tools, and platforms, including build-versus-buy decisions based on capability, compliance, and speed to value.
- Mentor and serve as a technical role model for other engineers.
- Deliver AI training and enablement through workshops, office hours, documentation, and shared hands-on resources.
- Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels.
- Monitor the evolving AI landscape and recommend models, tools, and capabilities that can accelerate the company.
Requirements
- Typically 8+ years of software engineering, DevOps, or cloud engineering experience with technical leadership, roadmap ownership, architectural decision-making, and mentoring experience.
- Strong software engineering background with experience building and shipping production systems, ideally using Python, TypeScript, or similar languages used in AI/ML tooling.
- Experience using AI-powered development tools to deliver production code and automate routine tasks.
- Experience with large language model APIs, prompt engineering, tool use, retrieval-augmented generation, or agent frameworks such as CrewAI and Pydantic AI.
- Experience working across infrastructure, application development, platform architecture, and multiple teams to establish requirements and reach consensus.
- Experience owning technical roadmaps, setting technical standards, making architectural decisions, and driving adoption across multiple teams or products.
- Experience with software development lifecycle practices including CI/CD pipelines, continuous testing, and monitoring.
- Experience deploying and operating production workloads in AWS, Azure, or GCP cloud environments.
- Strong communication skills for translating technical AI concepts to non-technical audiences through training, documentation, and direct support.
- U.S. citizenship and ability to obtain and maintain a Top Secret security clearance.
- Preferred: experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints.
- Preferred: familiarity with AWS GovCloud, Azure Government, FedRAMP, NIST 800-53, and IL4/IL5 authorization frameworks.
- Preferred: experience with model hosting or fine-tuning, model benchmarking, cost evaluation, LLM evaluation frameworks, OpenTelemetry tracing, model measurement, or observability frameworks.
- Preferred: background in developer tooling, platform engineering, internal tools, knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure.
- An active U.S. Secret or Top Secret security clearance is preferred.
Benefits
- Health, dental, vision, HRA/HSA options, PTO, paid holidays, 401(k), parental leave, and equity.
- Hybrid work arrangement with an average expectation of at least 3 days per week in the office in Long Beach, CA, or Denver, CO.
- U.S. citizenship or qualifying authorization under ITAR is required, along with the ability to obtain and maintain a Top Secret security clearance.
Categories
About True Anomaly
True Anomaly builds spacecraft and software for space defense, including autonomous satellites, precision-sensing payloads, mission command-and-control software, and space-based interceptors for national security and commercial operators. Founded in 2022 by former U.S. Space Force members, it is privately held and headquartered in Englewood, Colorado. The company sells hardware, AI-enabled flight software, and mission operations services to U.S. and allied defense programs and space infrastructure providers.