Note: The job is a remote job and is open to candidates in USA. Applied Systems is transforming the insurance industry by building a dedicated team focused on delivering innovative software and services. They are seeking a Senior AI Automation Engineer to join their IT AI Automation team, responsible for deploying and maintaining AI solutions 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
Skills
- 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
- 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
Benefits
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
Company Overview
Company H1B Sponsorship