AI Automation Engineer

About the role

We're searching for a Sr. AI Automation Engineer to join our IT AI Automation team in a Remote role. This full-time role reports to Manoj Matthew and will help harden, deploy, run, and partner on AI at scale across the business.

Responsibilities

• Build and deploy micro-apps with the business.
• Partner directly with business owners to take proofs of concept from “works on my machine” to production, including dashboards, reconciliation and reporting tools, internal apps, chatbots, and support agents.
• Build AI integrations and agents. Design, build, and publish reusable Claude skills and agents across the company, including retrieval and tool-calling pipelines grounded in company data.
• Integrate AI into existing business systems. Build integrations across systems such as Salesforce/Agentforce, Slack, NetSuite, and SQL data sources.
• Harden applications for production. Apply authentication, access controls, secrets management, CI/CD, logging, monitoring, token and cost controls, and version control for prompts and agent configurations.
• Operate apps on a governed GCP platform. Run and maintain applications on shared infrastructure, respond to issues, and support the apps the business depends on.
• Automate secure software maintenance. Build and maintain tooling that auto-updates software libraries and dependencies so deployed apps stay patched and secure.
• Evaluate and monitor AI quality. Build evaluations, regression tests, and quality monitoring for shipped apps and agents, including task completion, retrieval quality, drift, and system uptime.

Requirements

• 5+ years building and shipping production software or data/automation applications.
• Strong Python skills, solid SQL experience, and comfort working with real, governed data schemas.
• Hands-on cloud experience, preferably with GCP, including deploying and operating services.
• Working knowledge of production fundamentals, including authentication/identity, secrets management, CI/CD, logging, and monitoring.
• Experience integrating with third-party APIs and SaaS platforms.
• Ability to work directly with business stakeholders and translate evolving requirements into shipped, supportable software.

Qualifications

• Experience building LLM-powered applications and agents, including tool/function calling, retrieval, and agentic workflows.
• Experience with LLM evaluation and observability tooling such as LangSmith, Langfuse, Braintrust, or equivalents.
• Familiarity with retrieval pipelines and vector databases such as Vertex AI Vector Search, Pinecone, or pgvector.

Skills

• Python
• SQL
• Cloud (GCP)
• Production fundamentals (authentication/identity, secrets management, CI/CD, logging, monitoring)
• Third-party API integration
• Business stakeholder collaboration
• LLM-powered applications and agents
• LLM evaluation and observability tooling
• Retrieval pipelines and vector databases

Benefits

Annual Salary Range $80,000 - $160,000 USD