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About the Role

The Senior AI Engineer is the engineering backbone of the internal tools team, building and maintaining platforms that increase organizational efficiency and enable teams to move faster. This role owns systems end-to-end, connecting multiple business systems into a seamless, reliable internal ecosystem.

Responsibilities

• Design, build, and maintain internal platforms and tools serving People, Finance, Ops, Sales, and Engineering teams.
• Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring.
• Write clean, well-tested, production-grade code.
• Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools.
• Design for reliability, performance, and scale.
• Eliminate data silos by building clean data pipelines.
• Own services in production, including monitoring, alerting, incident response, and post-mortems.
• Build AI/LLM-powered features into internal workflows for automation.
• Move fast from prototype to production, delivering systems that work at scale.
• Stay current on emerging AI capabilities and identify opportunities for productivity improvements.
• Work directly with business stakeholders to understand pain points and translate them into technical solutions.
• Pair with and mentor junior engineers.
• Raise the technical bar through code reviews, design reviews, and leading by example.
• Influence technical direction by proposing architectural improvements and driving best practices.

Requirements

• 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.
• Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices.
• 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 and ability to break down vague business problems into working solutions.
• 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.
• Frontend experience with React, Next.js, or equivalent modern frameworks 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 is a plus.

Skills

• Python
• Go
• TypeScript/Node.js
• Java
• Cloud Infrastructure (GCP/AWS/Azure)
• Containerization (Docker/Kubernetes)
• CI/CD Pipelines
• DevOps
• API Integrations
• Workday
• Salesforce
• Slack
• NetSuite
• Relational Databases
• Data Modelling
• ETL/ELT Pipelines
• SQL
• React
• Next.js
• Workflow Orchestration Tools
• Temporal
• Airflow
• Prefect
• Integration Platforms
• Workato
• Tray.io
• MuleSoft
• HRIS
• ERP
• AI
• LLM

Location

• San Francisco, CA
• Remote

Work Type

• Work From Home
• Remote

Experience Level

• Senior

Salary/Compensations

• USD 150000 - USD 190000

Benefits

• Medical insurance
• Dental
• Vision
• Savings Plan Options
• PTO