Member of Engineering – Agent Experience

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poolside

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

poolside is a frontier AI lab and enterprise platform that builds and deploys foundation models, multi-agent systems, and developer-facing tools focused on automating complex software work. The company specializes in on-prem and VPC deployments, security-first integrations, governance, and connectors to enterprise data sources so organizations can run agents and models inside their own boundaries. Poolside embeds research and engineering with customers to deliver outcome ownership, risk controls, and measurable business impact while advancing toward AGI by starting in high-consequence software environments.

📋 Description

• 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

🎯 Requirements

• 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,

🏖️ 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