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Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.\n\nOur 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.\n\nWe’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).\n\nJoining 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.\nWhat You’ll Do\nDevelop AI-powered workflows end-to-end, balancing research and engineering to create production-ready AI models\n\nBuild and optimize data pipelines to process high-volume structured and unstructured data for training and evaluation\n\nDesign and execute benchmarks to evaluate AI models, improve performance, and reduce compute costs\n\nFine-tune and train Large Language Models (LLMs) for production engineering and reliability use cases\n\nResearch and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning\n\nWork in a collaborative, high-impact team, translating research into scalable AI-powered solutions\n\nWhat We’re Looking For\nDeep experience with LLMs: Experience working with foundation models (e.g., GPT-4, Llama, Gemini), including fine-tuning, prompt engineering, and optimization\n\nStrong software engineering skills: Proficiency in Python, Go, or C++ with experience in distributed systems and cloud infrastructure\n\nData engineering expertise: Experience working with large-scale data pipelines, embeddings, vector databases, or search\n\nMachine learning fundamentals: Understanding of transformers, deep learning, and self-supervised learning\n\nBonus: Experience with Reinforcement Learning (RLHF/RLCEF), Retrieval-Augmented Generation (RAG), or multi-agent AI systems\n\nWhy Join Resolve AI?\nMake a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.\n\nShape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.\n\nOwn Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.\n\nAccelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.\n\nCompetitive Benefits: Competitive Pay Packages with full benefits including:\nComprehensive Medical, Dental, and Vision Insurance\n\nMonthly Housing Stipend\n\nFlexible (Unlimited) Paid Time Off\n\nVisa Sponsorship & Immigration Support\n\n401(k) Plan\n\nParental Leave\n\nDiscretionary Tech Benefit Stipend\n\nDaily in-office Lunches and Dinners\n\nWe are an equal opportunity employer. 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