Member of Engineering (Agent Experience)

ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. ABOUT OUR TEAM We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. ABOUT THE ROLE You'll sit at the intersection of Poolside's research, infrastructure, and product teams, acting as the connective tissue that brings agents into every corner of the Model Factory. The Agent Experience team owns the harness, skills, and tooling behind autonomous research and the daily experience of the researchers running it. In a given week, you might ship an agent that runs its own ablations end to end, build the distribution layer that lets a skill written by one researcher land in everyone's workflow the same day, or instrument trajectories so we can actually see where agents earn their keep. If you want to own the surface every researcher touches, work alongside the people building frontier models, and help shape what agentic research looks like next, this is the role for you. YOUR MISSION To establish, improve and accelerate self-improvement loops of the agentic connective tissue across all engineering and research teams at Poolside. RESPONSIBILITIES Partner closely with researchers (pre-, post-training), eval teams, infrastructure teams, and experiment platform engineers to translate research workflows into self-improving agentic flows. Design and build robust backend services primarily using Python and Go to power our agents. Drive adoption of agent-native research workflows. Build out evals and datasets relevant for measure self-improvement capabilities of our own models and drive the inner flywheel of the model factory. Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics. Work closely with our agent harness and runtime team to define the roadmap SKILLS & EXPERIENCE Strong engineering fundamentals across backend architecture, API and database design, and operational excellence. Demonstrated ability to lead ambiguous, cross-functional initiatives, aligning stakeholders around a shared technical vision. Proven experience building agentic systems, skills, self-improvement loops or experience in non-trivial harness engineering. Nice to have: Understanding of ML research workflows, including experiments, evals, training runs, evaluations, checkpoints, configurations, datasets, and research iteration cycles. Nice to have: Experience in systems used in model training like W&B, Neptune, Dagster, PROCESS Intro call with the Engineering Manager Technical Interviews with our Members of Engineering Team fit call with the People team Final interview with one of our VP of Engineering BENEFITS Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture