Senior AI Platform Engineer

United States Digital Space LLC; San Francisco (CA); On-site; USD 164,000 - 227,000; Full time

Benefits offered by this job

Backup child care

Elder care

Pet care

Commuter benefits

Health benefits

Vacation days

Job summary

United States Digital Space LLC is seeking a Senior Software Engineer for the AI Enablement team to build internal platforms, guardrails, and reusable components that enable safe, scalable LLM-powered tools across the company.

You will partner with Platform Engineering, Security, Risk, Legal, and product teams to deliver durable platform features from prototyping to production, with a base salary starting at $164,000 and going up to $227,000, plus bonus, equity, and benefits.

Qualifications

• Significant experience as a software engineer building distributed systems, platform services, or internal developer tools.
• Hands-on experience building with LLMs or ML services and shipping production-quality features on top of them.
• Strong coding skills in at least one of Python, Go, or TypeScript/JavaScript, with comfort working across services, CLIs, and internal tooling.
• A platform mindset: you think in reusable primitives, contracts, and paved roads rather than one-off solutions.
• Familiarity with AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy.
• Experience partnering with cross-functional stakeholders such as Security, Risk, Product, and Operations, and influencing direction through strong technical judgment.
• Strong written and verbal communication skills, with the ability to explain technical tradeoffs clearly to both technical and non-technical audiences.
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

Responsibilities

• Build and evolve internal AI platforms such as Archimedes, Bosun, and easyRAG, enabling teams to develop and scale LLM-powered applications and workflows
• Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools
• Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features
• Define and improve the company’s golden path patterns for LLM usage, balancing developer velocity with safety, reliability, and cost efficiency
• Develop systems that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way
• Establish evaluation, observability, and cost-management practices across AI systems, including quality, latency, safety, and spend
• Partner with Security, Risk, and Legal to implement practical guardrails for responsible AI development and usage
• Drive consistency and standardization in how AI systems are built, deployed, and operated across the company
• Collaborate with engineers and partner teams across the company to embed AI into internal tools, workflows, and employee experiences

Skills

Distributed systems

LLMs/ML services

Python/Go/TS

Platform mindset

Job description

United States Digital Space LLC is seeking a Senior Software Engineer for the AI Enablement team to build internal platforms, guardrails, and reusable components that enable safe, scalable LLM-powered tools across the company.

You will partner with Platform Engineering, Security, Risk, Legal, and product teams to deliver durable platform features from prototyping to production, with a base salary starting at $164,000 and going up to $227,000, plus bonus, equity, and benefits.