talentpluto

Design and build reinforcement learning environments and production-ready agents collaborating with research teams. | Strong machine learning engineering skills with experience in Node.js, Python, React, TypeScript, Kubernetes, Docker, and reinforcement learning. | Location: Remote (United States) Work Model: Remote Industry: Applied AI / AI research data Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share) About the Company Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains. The Opportunity As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up. You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods. Responsibilities Design and build high-quality RL environments that simulate real working environments end to end. Develop agents for the tasks within those environments and iterate until they are efficient and production-ready. Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs. Own the backend and infrastructure layers that make environments reliable and scalable. Help set engineering standards for a zero-to-one team as the RL function grows. Requirements Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning. Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills. Comfort operating in a fast-paced startup environment with high ownership and long hours. A track record of meaningful tenure and impact at previous companies. Reinforcement-learning experience or an RL research background is a strong plus, though not required. Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

Build and ship full stack features focusing on backend systems, data pipelines, and AI-driven capabilities while collaborating with senior team members. | 5-7 years full stack experience with strong TypeScript, React, Python skills, product-minded, AI tool experience, onsite in NYC. | Location: Remote (United States) Work Model: Remote Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250K-$260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building. Responsibilities Build and ship features across the full stack, with an emphasis on backend systems Design and maintain data pipelines and data-movement workflows Contribute to agentic and AI-driven product capabilities Take customer feedback and help shape product direction, not just execute tickets Collaborate closely with a small, senior team in a fast-moving codebase Requirements 5-7 years of full stack engineering experience (4+ considered on the lower end) Strong proficiency in TypeScript and React, with some Python Product-minded engineer who can form opinions and contribute to product direction Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment Able to work onsite in New York City five days per week Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

Manage end-to-end data lifecycle and collaborate with teams to ensure quality data for machine learning. | 2+ years in consulting, strategy, or operations with adaptability and curiosity. | Location: United States (remote) Work Model: Fully remote Industry: AI / human data (audio and voice) Compensation: Up to $200K base, plus equity About the Company Our partner is an audio and voice focused human data company that operates more like a research lab than a services shop. Rather than building one-off custom data sets, they create and own off-the-shelf data sets they can iterate on, guided by in-house research and product leadership. They partner long-term with leading research labs and major technology companies. The Opportunity As a Data and Product Operations Lead, you will own data sets end to end, from conception through delivery, treating the data itself as the product. You will partner across product, research, engineering, and deployment to define goals for each data set, manage the project to a high quality bar, and problem-solve how the data will perform when used to train machine learning models. Responsibilities Own data sets end to end, from conception through delivery Partner with product, research, and deployment teams to define goals for each data set Manage projects on the company's data platform, including onboarding speakers and coordinating QA Work closely with engineering on bug fixes, noise reduction, and automation Hold the quality bar, prioritizing quality over speed and volume Problem-solve with researchers and ML engineers on how data will perform in model training Requirements 2+ years of experience in consulting, strategy and operations, or heavy operations roles Strong generalist who can work across many functions and adapt as priorities shift Comfort grinding through intense work in an output-focused environment Low ego, naturally curious, and humble Bonus: background in PE/IB, MBB consulting, marketplace or heavy-operations companies, or early-stage startup ops

Build and ship full-stack features focusing on backend systems, data pipelines, and AI-driven capabilities while collaborating on product direction. | 5-7 years full stack experience with strong TypeScript, React, some Python, product mindset, and startup familiarity. | Location: United States (remote) Work Model: Fully remote Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250-260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Responsibilities Build and ship features across the full stack, with an emphasis on backend systems Design and maintain data pipelines and data-movement workflows Contribute to agentic and AI-driven product capabilities Take customer feedback and help shape product direction, not just execute tickets Collaborate closely with a small, senior team in a fast-moving codebase Requirements 5-7 years of full stack engineering experience (4+ considered on the lower end) Strong proficiency in TypeScript and React, with some Python Product-minded engineer who can form opinions and contribute to product direction Demonstrable use of AI tools in your day-to-day workflow Startup experience preferred Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

Build and ship full-stack features focusing on backend systems, data pipelines, and AI-driven product capabilities. | 5-7 years full stack experience with TypeScript, React, some Python, product-mindedness, and AI tool usage. | Location: New York, NY Work Model: Hybrid Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250K-$260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building. Responsibilities Build and ship features across the full stack, with an emphasis on backend systems Design and maintain data pipelines and data-movement workflows Contribute to agentic and AI-driven product capabilities Take customer feedback and help shape product direction, not just execute tickets Collaborate closely with a small, senior team in a fast-moving codebase Requirements 5-7 years of full stack engineering experience (4+ considered on the lower end) Strong proficiency in TypeScript and React, with some Python Product-minded engineer who can form opinions and contribute to product direction Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment Able to work onsite in New York City five days per week Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure