LogicMonitor Logo

LogicMonitor

Applied AI Engineer

Posted An Hour Ago
Be an Early Applicant
Easy Apply
Hybrid
San Francisco, CA
120K-165K Annually
Mid level
Easy Apply
Hybrid
San Francisco, CA
120K-165K Annually
Mid level
As an Applied AI Engineer, you will enhance AI capabilities, ensure customer success, drive product improvements, and prototype solutions, blending technical skills with customer engagement.
The summary above was generated by AI

About Us:  

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.

This role is open to candidates based in or near San Francisco, CA. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate.

To learn more about life at LogicMonitor, check out our Careers Page.

What You'll Do:

LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation. 

Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! 

We’re looking for an Applied AI Engineer who lives at the intersection of product, AI engineering, and customer success. You’ll ensure AI capabilities are not just deployed, but adopted, robust, and deeply valuable in customer environments. You’ll be a technical partner internally and externally, owning the loop from prototyping to metrics to insights to roadmap feedback.

This is not a traditional support or operations role. You’ll build reliable systems, define evaluation signals, influence model and product behavior, and scale AI adoption across customers.

Here's a closer look at this key role:

  • Ensure customer success post-deployment: Drive adoption, measure value realization and provide best practices on maximizing impact of AI capabilities. 
  • Act as technical owner: Serve as the go-to technical advisor for customers, designing custom configurations, integrations, and prompt or agent workflows tailored to their environments.
  • Prototype and evaluate: Build proofs-of-concept with customers, define evaluation metrics, run experiments, and analyze errors to improve model and feature quality.
  • Drive product improvements: Translate customer feedback and production learnings into clear, actionable requests for Product and Engineering.
  • Instrument reliability and observability: Develop health monitors, logging, and drift detection to ensure AI performance remains stable and measurable in production.
  • Resolve and automate: Investigate production issues across data, APIs, and model behavior; create durable fixes and automation to prevent recurrences.
  • Enable and educate: Lead workshops, demos, and internal enablement sessions to build confidence and understanding of Edwin AI’s capabilities.
  • Stay current: Explore and apply emerging techniques in LLMs, generative AI, agent frameworks, and evaluation methods to push the product forward.
What You'll Need:
  • 2-3 years in a customer-facing technical role: solutions engineering, forward-deployed engineering, AI/ML ops, or applied research + deployment.
  • Strong solution architecture in design enterprise software systems and AIOps systems
  • Hands-on experience with LLMs / generative AI / agent frameworks (prompting, retrieval, chaining, evaluation).
  • Proficiency scripting in Python with AI/LLM tooling and system observability/integration workflows (e.g. API debugging with Postman) preferred.
  • Ability to design evaluation metrics, error analysis, and performance monitoring.
  • Strong communication: you can explain complex AI ideas to engineers, product folks, or non-technical stakeholders.
  • Comfortable working in ambiguity, balancing trade offs, managing multiple stakeholders.

Residents of California, click Here to view our California Applicant Privacy Notice.

Anticipated Application Close Date: 01/17/26

LogicMonitor is an Equal Opportunity Employer
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.

For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

#LI-JP1 #LI-Hybrid #BI-Hybrid

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:
$120,230$165,330 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.

Top Skills

Agent Frameworks
AI
APIs
Generative Ai
Llms
Machine Learning
Python

LogicMonitor San Francisco, California, USA Office

LogicMonitor San Francisco Office

Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration.

Similar Jobs at LogicMonitor

8 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
215K-269K Annually
Senior level
215K-269K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
Design and build AI agents that enhance observability data and automate incident workflows. Provide technical leadership and ensure enterprise standards for reliability and security.
Top Skills: AiopsCloud-Native SystemsJavaKubernetesPythonServicenow
8 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
131K-164K Annually
Senior level
131K-164K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
The Senior Strategic Partnerships Manager will drive growth across strategic partnerships, managing execution, alignment, and relationships to enhance LogicMonitor's market presence.
Top Skills: AIIt AutomationObservabilitySaaS
12 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
120K-200K Annually
Senior level
120K-200K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
As a Senior DevOps Engineer, you'll enhance our cloud infrastructure by automating deployments, managing multi-cloud environments, and optimizing costs while ensuring security and observability across systems.
Top Skills: AirflowAWSAzureBashCi/CdGCPGrafanaGraphdbKubernetesLangfuseLlmMcpPrometheusPythonRedisTerraformTraefikVectordb

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account