The Opportunity

This is more than a full-stack role — it's your chance to build the AI layer of the platform the world's infrastructure runs on. Sitetracker is building Scout, our AI product line: production LLM systems and agentic workflows embedded in the software companies like Cox, Telefónica, and EVgo use to deploy critical infrastructure. As a Product Engineer, you'll take AI capabilities from idea to production agent orchestration and model integration on the backend, and the web and mobile experiences that put them in customers' hands.

This is shipping real, customer-facing AI , not prototypes or research demos. You'll own features end-to-end, work with frontier models (Anthropic, OpenAI), and see your work land in the hands of enterprise users deploying telecom networks, EV chargers, and renewable energy around the world.

What You’ll do:

As a Product Engineer on Scout, you'll hit the ground running and ship customer-facing AI from day one. You'll design, build, test, deploy, and monitor AI product features end-to-end , building agentic LLM systems with multi-agent workflows, tool/function calling, RAG pipelines, and prompt engineering over frontier models from Anthropic and OpenAI.

You'll work across the full stack: backend services in Python, Java, Node.js, or Go, and TypeScript/React frontends spanning both web and mobile app experiences. You'll make AI dependable by building automated evaluation pipelines, guardrails, and testing strategies for non-deterministic outputs — and running it on production infrastructure: scalable, fault-tolerant services on AWS and Kubernetes.

You'll think like a product engineer, not a ticket-taker: dig into user needs, absorb the problem space, make smart calls about what to build, keep stakeholders informed, and find ways to unblock yourself.

The Skills You’ll Have:

Full-Stack Product Engineering

AI / LLM Engineering

Production Systems & AI Infrastructure

Product Thinking & Communication

Within 90 Days, You’ll:

● Ramp up on Scout's architecture, codebase, and AI tooling.
● Ship your first AI-driven product features with support from senior engineers.
● Build a working knowledge of our evaluation pipelines and deployment workflow on AWS.

Within 180 Days, You’ll:

● Independently deliver AI product features end-to-end, with increasing complexity.
● Contribute to design discussions and team best practices for secure, scalable AI development.
● Own the quality of your features in production: monitoring, evals, and iteration.

Within 365 Days, You’ll:

● Consistently deliver well-crafted, end-to-end AI product capabilities that increase velocity and throughput.
● Elevate team quality through strong technical work, thoughtful code reviews, and knowledge sharing.
● Serve as a go-to contributor for agentic systems on Scout.