careers-appliedsystems2mo ago
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AI Automation Engineer/ Sr. AI Automation Engineer
senior
OtherAi Automation Engineer
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Quick Summary
Key Responsibilities
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.
Requirements Summary
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,
Technical Tools
OtherAi Automation Engineer
Transforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable; we’re creating a place where amazing career moments are made possible.
We’re searching for a
Sr. AI Automation Engineer to join our
IT AI Automation team in
Remote role. This full-time role will help harden, deploy, run, and partner on AI at scale across the business. The IT AI Automation team partners with business units that build proofs of concept, then hardens and ships those solutions to production on a shared, governed GCP platform with authentication, CI/CD, secrets management, and monitoring. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.
Responsibilities
~1 min read- →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.
Your experience may include:
- 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.
A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
We leverage AI tools to streamline parts of our recruitment workflow, such as resume parsing and interview scheduling. However, candidate screening, interviews, and final decisions are conducted by real humans.
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
Location & Eligibility
Where is the job
—
Location terms not specified
Listing Details
- Posted
- July 23, 2026
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 11%
- Scored at
- September 27, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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