Dynatrace Logo

Dynatrace

Senior Generative AI Engineer (Go, Python) (remote NORAM)

Posted Yesterday
Remote or Hybrid
Hiring Remotely in United States
146K-220K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
146K-220K Annually
Senior level
Design, build, and ship production-grade agentic AI systems that connect code context with runtime observability. Implement end-to-end LLM systems (prompting, tool calling, retrieval, memory, agents), define evaluation metrics and datasets, integrate with development workflows and Dynatrace, set technical strategy, mentor engineers, and own monitored production systems.
The summary above was generated by AI
We put AI first

We're looking for a Principal Generative AI Engineer to build AI systems that connect development workflows with production observability. You'll design and ship agentic tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals.

Your role at Dynatrace

We are looking for a visionary, technically excellent engineer who is ready to design and ship production-grade agentic AI systems that bridge the gap between code context and runtime signals. You should thrive on a foundation of freedom, feedback, and responsibility, bringing a startup-like drive backed by the reach of a global platform.

  • Design, build, and ship agentic AI systems and tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals.
  • Build production LLM systems end to end, managing prompting, tool calling, retrieval, memory management, and the agent loops that tie them together.
  • Define the evaluation strategies, metrics, and datasets that make agent quality measurable, ensuring we ship on evidence and catch regressions across model and prompt changes.
  • Connect development workflows with production observability, turning code context and runtime signals into reliable, actionable insight, and collaborate with product, design, and platform teams to identify developer problems.
  • Set technical strategy and architectural direction for the team's AI systems, mentor engineers across the organization, and take full ownership of systems using Dynatrace to monitor and optimize them.
What will help you succeed

You are a seasoned technical leader with a strong software engineering foundation and proven hands-on experience deploying complex LLM applications. You possess the engineering judgment to navigate ambiguous, fast-moving spaces and set clear architectural direction for your team.

  • Degree in Software Engineering or equivalent practical experience in software development, combined with a track record of technical leadership and the judgment to set direction in an ambiguous, fast-moving space.
  • Extensive experience shipping production systems that use LLMs, including prompting, tool calling, evaluation, and iteration.
  • A strong foundation in at least one of: developer tooling (IDEs, compilers, static analysis, code intelligence), AI/ML engineering, or large-scale distributed systems.
  • Hands-on experience with agentic patterns, specifically planning, tool use, retrieval, and memory management.
  • The ability to evaluate and critique AI-generated output, understanding why a model is wrong, not just that it is, with familiarity with observability and the Dynatrace platform as a strong advantage.
Why you will love being a Dynatracer
  • Dynatrace is a leader in unified observability and security.
  • We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
  • Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
  • You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.
  • Over 50% of the Fortune 100 companies are current customers of Dynatrace.
Compensation and Rewards

The base salary range for this role is $146K - $220K. When determining your salary, we consider your experience, skills, education, and work location. Our total compensation package includes unlimited personal time off, an employee stock purchase plan, and a reward system.

We also offer medical/dental benefits and a company-matched 401(k) plan for retirement.

Equal Employment Opportunity

Dynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

Dynatrace Mountain View, California, USA Office

401 Castro St , Mountain View, CA, United States, 94041

Similar Jobs at Dynatrace

Yesterday
Remote or Hybrid
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The AI Engineer designs and deploys AI automation tools, partners with teams for workflow automation, and enhances operational efficiency using generative AI and data-driven decision support.
Top Skills: AnthropicApi GatewayAWSAzureDbtEventbridgeGeminiGoLambdaMlflowOpenaiPythonS3SagemakerSnowflakeStep FunctionsTypescriptWeights & Biases
Yesterday
Remote or Hybrid
128K-160K Annually
Mid level
128K-160K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive growth and adoption of Dynatrace within assigned federal accounts by building multi-year strategic account plans, developing C-level relationships, leading cross-functional teams, executing land/adopt/grow ARR strategies, and leveraging services, partners, and support to expand footprint across global stakeholders.
Top Skills: CloudDynatraceInfrastructure-As-A-Service (Iaas)ObservabilityPlatform-As-A-Service (Paas)SecuritySoftware-As-A-Service (Saas)
Yesterday
Remote or Hybrid
120K-160K Annually
Expert/Leader
120K-160K Annually
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Serve as escalation owner for complex Dynatrace mainframe issues, lead deep diagnostics across CICS/IMS/DB2/MQ and z/OS, analyze dumps/traces/logs, provide architecture and performance guidance, partner with R&D/product teams, run customer workshops and proofs-of-concept, and mentor support engineers.
Top Skills: .NetAcf2CicsCloud PlatformsCtgDb2 For Z/OsDynatraceHTTPIbm Z/OsImsIspfJavaJclMqRacfSdsfSoapZ/Os Connect

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