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Senior Software Engineer – AI
SitetrackerProduct Engineer at Sitetracker developing customer-facing AI solutions for critical infrastructure. Involves end-to-end feature development and maintaining scalable systems on AWS.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying AI product features, including LLM systems and agentic workflows, while ensuring reliability and scalability in production environments. Proficient in full-stack development with a focus on backend services and customer-facing applications.
Highest-signal resume keywords
Python Backend DevelopmentTypeScript Web DevelopmentLLM API IntegrationAWS DeploymentKubernetes Operations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaNode.jsGoTypeScriptReactReact NativeREST API DesignNoSQL DatabasesRAG Pipelines
Soft Skills
Stakeholder CommunicationProblem-SolvingUser Needs AnalysisIterative Solution Development
Tools & Technologies
AWSDockerKubernetesCI/CDObservability Tools
Industry Keywords
AI Product DevelopmentAgentic WorkflowsNon-Deterministic OutputsFault-Tolerant ServicesScalable Infrastructure
Tech Stack
Tools & technologiesAWSDockerGoJavaJavaScriptKubernetesNode.jsNoSQLPythonReactReact NativeTypeScript
About the role
Key responsibilities & impact- 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.
- 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.
Requirements
What you’ll need- Build production backend services in Python (FastAPI or similar), Java, Node.js, or Go.
- Ship production web interfaces in TypeScript and React; mobile app development (React Native or similar) is a plus.
- Design REST APIs and data models across relational and NoSQL databases.
- Own features end-to-end: implementation, testing, deployment, and monitoring.
- Build with LLM APIs (Anthropic, OpenAI): agentic workflows, tool/function calling, RAG pipelines, and prompt engineering.
- Write evaluation pipelines and testing strategies for non-deterministic AI outputs.
- Deploy and operate services on AWS with Docker, Kubernetes, and CI/CD (Scout runs on AWS).
- Instrument systems with observability and handle customer data securely in AI systems.
- Design fault-tolerant, scalable services that serve AI workloads reliably.
- Dig into user needs and use that context to decide what to build and how.
- Explain technical decisions and AI concepts clearly to technical and non-technical audiences.
- Break challenges into iterative solutions, keep stakeholders informed, and unblock myself.
Benefits
Comp & perks- Competitive salary
- Flexible work arrangements