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

• A Bachelor's degree in Computer Science or a closely related technical field is required for this position.

• Deep experience with LLMs: Experience working with foundation models (e.g., GPT-4, Llama, Gemini), including fine-tuning, prompt engineering, and optimization

• Strong software engineering skills: Proficiency in Python, Go, or C++ with experience in distributed systems and cloud infrastructure

• Data engineering expertise: Experience working with large-scale data pipelines, embeddings, vector databases, or search

• Machine learning fundamentals: Understanding of transformers, deep learning, and self-supervised learning

• Bonus: Experience with Reinforcement Learning (RLHF/RLCEF), Retrieval-Augmented Generation (RAG), or multi-agent AI systems

• Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.

• Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.

• Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.

• Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.

• Competitive Benefits: Competitive Pay Packages with full benefits including:

  • Comprehensive Medical, Dental, and Vision Insurance

  • Monthly Housing Stipend

  • Flexible (Unlimited) Paid Time Off

  • Visa Sponsorship & Immigration Support

  • 401(k) Plan

  • Parental Leave

  • Discretionary Tech Benefit Stipend

  • Daily in-office Lunches and Dinners

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.