trueanomalyinc

Staff Platform Engineer, AI

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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

AWSAzurePythonTypeScript

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