> Markdown version of [/jobs/ext/959672-generative-ai-engineer-go-python-remote-noram](https://www.wearedevelopers.com/jobs/ext/959672-generative-ai-engineer-go-python-remote-noram). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer (Go, Python) (remote NORAM) - **Company:** Dynatrace LLC - **Location:** United States - **Experience:** Expert - **Salary:** $146,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Static Program Analysis, Compilers, Programming Tools, Distributed Systems, Memory Management, Machine Learning, Microsoft Software, Software Engineering, Google Cloud, Large Language Models, Operational Systems, Dynatrace - **Published:** June 13, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-generative-ai-engineer-go-python-remote-noram/9723108 ## About the Role 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. ## Description 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. ## Related Videos - [MLOps and AI Driven Development](https://www.wearedevelopers.com/videos/347-mlops-and-ai-driven-development) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [The Power of Purpose: Unlocking Potential and Innovation](https://www.wearedevelopers.com/videos/1110-the-power-of-purpose-unlocking-potential-and-innovation) - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)