Senior Engineer, Internal Tools, Artificial Intelligence

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This position is 100% Remote.

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Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home Location: San Francisco, CA, us, Remote Job Description The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on.

Your work directly increases organizational efficiency and enables teams to move faster. Senior Engineer Responsibilities Build & Ship Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams.

Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices.

Frontend experience with React, Next.js, or equivalent modern frameworks is a plus.

Benefits Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. #J-18808-Ljbffr The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem.

Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products.

Architecture & Integration Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. Design for reliability, performance, and scale: what you build today must hold as the company grows 5–10x. Eliminate data silos.

Build clean data pipelines that maintain a single source of truth across systems. Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes.

Move fast from prototype to production. You know the difference between a demo and a system that works at scale. Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity.

Collaboration & Influence Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don’t wait for a spec you help shape it. Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example.

Qualifications 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. Artificial Intelligence (AI) experience required. Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java.

Hands‑on experience building and maintaining API integrations between third‑party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. Comfort with ambiguity.

You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. Clear communicator who can explain technical tradeoffs to non‑technical stakeholders. Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus.

Familiarity with HRIS, ERP, or people systems data models and processes is a plus. Experience at a high‑growth or AI‑native company is a plus. Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus.