AI Automation Engineer/Sr. AI Automation Engineer

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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

• A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter.
• 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
• Your targeted starting base salary in the United States for this position ranges from [$80,000 - $160,000 USD].

Company Description

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.