At Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.
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 raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, 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.
What You’ll DoDevelop 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
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.
Top Skills
What We Do
Our AI Production Engineer investigates & resolves incidents, so you can focus on building.
Let’s make machines be on-call for humans, not the other way around.
