Sr. AI Engineer - IT
LogicMonitor9 hours ago
Base Salary
$137k - $189k/yr
Responsibilities
- Implement and support enterprise AI Fabric services for agent execution, context assembly, model routing, tool access, workflow orchestration, and enterprise integrations.
- Build and manage a skills store with shared, personal, team, department, and organization-wide skills, including versioning, review, promotion, testing, auditability, and permission checks.
- Develop agents and services using established runtime patterns, including configuration, skill and tool loading, execution controls, tracing, tests, and failure handling.
- Integrate APIs, data platforms, tools, and external agents while handling authentication, retries, rate limits, duplicate requests, and recovery.
- Implement identity, authorization, permission-aware context assembly, model routing, evaluations, logging, alerts, runbooks, telemetry, and usage and cost measurements.
- Document components, recommend platform improvements, and contribute to bounded pilots for background agents with approved authorization, monitoring, review, and outcome controls.
Requirements
- 5+ years of relevant hands-on engineering experience, or an equivalent record delivering substantial backend, platform, infrastructure, AI, or integration systems.
- Strong Python engineering skills and practical experience with APIs, cloud services, containers or serverless runtimes, automated testing, and deployment pipelines.
- Working ability in JavaScript, TypeScript, or SQL is valuable.
- Experience building or operating production services, including monitoring, troubleshooting, incident follow-up, and maintainability improvements.
- Hands-on experience with LLM applications or agents involving tools, retrieval, structured outputs, orchestration, or evaluation.
- Experience implementing and building infrastructure in AWS AgentCore.
- Experience with secure integrations involving identity, authentication, permissions, secrets management, and audit logging.
- Sound engineering judgment regarding timeouts, retries, idempotency, state, rate limits, and recovery.
- Ability to turn defined platform needs into implementation plans, explain options and evidence, and identify decisions requiring architecture, security, policy, or rollout review.
- Experience writing meaningful tests and using production evidence to improve variable AI behavior.
- Clear communication with engineering, security, data, and business partners.
Benefits
- Austin-area role for candidates based in or near Austin, Texas, with a hybrid work arrangement.
- Comprehensive health, dental, and vision coverage.
- Generous parental leave, Employee Assistance Program, wellness programs, 401(k) with company matching, Lifestyle Spending Account, and unlimited vacation policy.
- Base salary range is $136,500–$189,420 USD.
Tech Stack
Categories
About LogicMonitor
LogicMonitor provides an AI-first observability and IT infrastructure monitoring platform delivered as SaaS for enterprises and managed service providers. It unifies monitoring across data centers and public clouds (AWS, Azure, GCP), networks, servers, databases, virtualization, and logs, with alerting, dashboards, and incident workflows sold by subscription. Founded in 2007 and headquartered in Santa Barbara, California, LogicMonitor is privately held and owned by Vista Equity Partners.