Research Engineer

Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.

Our founders ( Spiros Xanthos and Mayank Agarwal ) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.

We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).

Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one.

Develop AI-powered workflows end-to-end, balancing research and engineering to create production-ready AI models

Build and optimize data pipelines to process high-volume structured and unstructured data for training and evaluation

Design and execute benchmarks to evaluate AI models, improve performance, and reduce compute costs

Fine-tune and train Large Language Models (LLMs) for production engineering and reliability use cases

Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning

Work in a collaborative, high-impact team, translating research into scalable AI-powered solutions