This role is open to candidates based in or near Austin, TX. Our Austin office is based in the vibrant San Jacinto Center downtown with breathtaking views of Lady Bird Lake. At LogicMonitor, we hire within our Centers of Energy-vibrant locations where our teams connect, collaborate, and innovate.
What You'll Do:LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.
LogicMonitor's AI Fabric is our enterprise AI operating layer: the shared services and guardrails that let teams build and run AI agents and workflows with trusted context, approved tools, appropriate permissions, and clear quality and operational controls. We're looking for a hands-on engineer to implement, improve, and support assigned parts of this layer.
You will implement and support assigned services and features. You will investigate problems, propose solutions, and make day-to-day engineering decisions within agreed architecture and standards.
Our environment includes Okta for AI Agents (O4AA), Amazon Bedrock AgentCore, Strands, Model Context Protocol (MCP), agent-to-agent patterns, and workflow orchestration. We do not expect prior experience with every product or protocol. We want someone who understands the concepts, learns unfamiliar systems quickly, and can put them to work reliably.
Here's a closer look at this key role:- Implement and support assigned services in our enterprise AI operating layer for agent execution, context assembly, model routing, tool access, workflow orchestration, and enterprise integrations.
- Implement the approved skills-store model: core skills available to everyone, personal skills, team or department skills, and organization-wide skills. Help the shared main agent select skills appropriate to each user and task.
- Build self-service features that let users create, test, manage, and use personal skills. Implement the approved review and promotion process for team, department, and organization-wide skills.
- Implement skill versioning, selection, testing, auditability, and permission checks. Surface conflicts or policy gaps with options and evidence for the AI Fabric lead and relevant approvers.
- Build and use agent harnesses under agreed runtime patterns, including configuration, skill and tool loading, execution controls, tracing, tests, and failure handling.
- Develop agents and services in code, using workflow tools where they fit. Integrate APIs, data platforms, tools, and external agents while handling authentication, retries, rate limits, duplicate requests, and recovery.
- Apply approved identity and authorization patterns. Implement permission-aware context assembly using approved source-authority, freshness, citation, and context-window rules. Implement approved model routing based on task, policy, quality, latency, and cost, with tests and telemetry for routing decisions.
- Add evaluations, logging, alerts, runbooks, and usage and cost measures to the components you build and support.
- Implement and document components using the platform's established interfaces and patterns. Recommend improvements; the AI Fabric lead decides which changes become shared standards.
- Contribute to bounded pilots for background agents as the operating layer matures, using approved task limits, authorization, monitoring, review points, and outcome checks.
What You'll Need:- 5+ years of relevant hands-on engineering experience, or an equivalent record of 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. Understand how context selection, model choice, latency, and cost affect the result.
- Experience implementing and building infrastructure in AWS agentcore
- Experience implementing secure integrations using identity, authentication, permissions, secrets management, and audit logging.
- Sound engineering judgment about timeouts, retries, idempotency, state, rate limits, and recovery.
- Ability to turn a defined platform need into a working implementation plan, explain options and evidence, and recognize when an architecture, security, policy, or rollout decision needs review.
- Experience writing meaningful tests and using production evidence to improve variable AI behavior.
- Clear communication with engineering, security, data, and business partners.
Anticipated Application Close Date: 01/11/27
LogicMonitor is dedicated to fostering a culture of transparency and fairness, including our commitment to pay transparency. We provide the base salary ranges for all positions posted within the United States.
Compensation packages at LogicMonitor for eligible roles include base salary, a variable plan depending on role, along with comprehensive benefits. The range displayed on each job posting reflects the minimum and maximum base salary target for new hires in the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. As part of our holistic compensation philosophy, your package will also include, but is not limited to: Comprehensive health, dental and vision coverage, generous parental leave policies, access to our Employee Assistance Program and various Wellness programs, a 401K with company matching, a Lifestyle Spending Account, and an unlimited vacation policy. For more information on our benefits, see our careers page.
The Base Salary range for this role is:
$136,500-$189,420 USD
Our goal is to ensure an accessible and inclusive experience for every candidate.
If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.
Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor's U.S. Pay Transparency Nondiscrimination Provision.
