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AI Summary
About Pareto
Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment.
At Pareto, we build the platform that turns that judgment into the data, evals, and RL environments frontier models learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates.
This RL environment and human-data infrastructure is already in production. Our job now is to scale it.
Responsibilities:
Working as a Forward Deployed Software Engineer at Pareto means partnering with frontier labs and owning the RL environments they train on end to end — scoping with the requester, building the image and the tools inside it, writing the graders that score it, shipping it, and keeping it healthy in production. Your key duties will include:
Leverage innovative thinking, problem-solving capabilities, and engineering expertise to address critical AI challenges for clients
Build and ship the environments themselves: layered container images, the MCP tool servers agents act through, task setup, and deterministic or agent-judge graders — released reproducibly into the customer's platform
Own what you ship in production. Investigate failed runs, take the lead when a delivery pipeline degrades, stabilize first and root-cause second, write the runbook, and turn each incident into fixes that stop it recurring
Invest in the platform, not just the delivery — automated image builds and release notes, spec-first design, CI gates and review harnesses, so the next environment costs a fraction of the last
Partner with interdisciplinary teams across delivery, product, engineering, and ML to influence product roadmap and achieve important business objectives
Qualifications
Most importantly, we seek candidates with initiative, eagerness to grow, unwavering determination, and enthusiasm for direct customer engagement. You would be an excellent candidate if your experience includes:
Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related analytical discipline
Strength in programming languages such as Python, Typescript, or functional languages
Familiarity with cloud platforms like AWS
Fluent, high-leverage use of coding agents, and the judgment to review what they produce
Outstanding communication abilities and analytical troubleshooting skills
Flexibility to visit customer locations when required (Business trips to California)
Having the legal right to travel to the US
Demonstrate strong ethics, honesty, and consideration for colleagues
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