trueanomalyinc
Staff Platform Engineer, AI
At a Glance
- Location
- Denver, CO or Long Beach, Canada
- Work Regime
- hybrid
- Compensation
- vel COMPENSATION Base Salary: $175,000 - $250,000 Equity + Benefits including H
- Posted
- 2026-02-25T19:57:00-05:00
Key Requirements
Required Skills
Domain Knowledge
- Defense
- Engineering
- Government
- Regulatory
Requirements
Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks
Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows)
Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture
Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support
Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
Compensation & Benefits
Base Salary:
$175,000 - $250,000
Equity + Benefits
including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be
determined
Responsibilities
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
Design and deliver 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