Platform Engineer, AI (Levels I, II, III)

Responsibilities

• Build and maintain AI platform components: API integrations, system connectors (MCP, tool use), authentication flows, and data pipelines that connect AI models to internal tools
• Develop custom AI-powered applications and workflows for specific business use cases, working from requirements and technical designs provided by senior engineers
• Write clean, well-tested code in Python, TypeScript, or similar languages, following team coding standards and best practices
• Participate in code reviews, technical discussions, and platform architecture decisions, contributing your perspective and learning from more experienced engineers
• Help maintain documentation for AI platform services, including API references, integration guides, and troubleshooting resources
• Support AI training and enablement efforts by contributing to internal resources, attending office hours, and helping teams adopt AI tools
• Work with engineering, security, and IT teams to ensure AI implementations meet government security and compliance requirements
• Stay current with AI developments and implement them into solutions for the company

Qualifications

• Successful candidates demonstrate strong fundamentals, ability to learn quickly, and growing independence in delivering technical work
• Passionate about AI, while understanding its limitations
• Software engineering experience building and shipping code, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
• Experience using the latest AI powered development tools to deliver production code and automate routine tasks
• Read, write, and understand code in at least one common programming language like Python, Typescript
• Familiarity with REST APIs, webhooks, or other integration patterns for connecting software systems
• Understanding of large language model APIs and concepts like prompting, tool use, or RAG (retrieval-augmented generation)
• Able to learn quickly, ask good questions, and work effectively with more senior engineers
• Effective written and verbal communication skills
• Comfortable working in a fast-paced environment where priorities shift and requirements evolve
• US Citizenship and ability to obtain and maintain a Top-Secret security clearance

Preferred Skills And Experience

• Experience with cloud platforms (AWS, Azure, GCP) or infrastructure-as-code tools
• Familiarity with CI/CD pipelines, testing frameworks, or DevOps practices
• Experience building integrations with enterprise software (Slack, Jira, Confluence, etc.)
• Background in government, defense, or regulated industries with security and compliance requirements
• Experience with agent frameworks (CrewAI, Pydantic AI, LangChain) or embedding/vector databases

Pay

• Colorado Base Salary (L1 to L3): $120,000–$225,000
• California Base Salary (L1 to L3): $125,000–$235,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Additional Requirements

• Work Location— Long Beach, CA, or Denver, CO
• Onsite requirements are subject to change, particularly when work on classified systems is required
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving