Founding Forward Deployed Research Engineer (FDRE)

Posted about 2 months agoViewed
London, New YorkFull-TimeArtificial Intelligence
Company:poolside
Location:London, New York
Languages:English
Skills:
Backend DevelopmentDockerArtificial IntelligenceCloud ComputingKubernetesMachine LearningData scienceCI/CDTerraformComplianceSoftware Engineering
Requirements:
Backend services at scale; distributed systems; data/feature pipelines; queues/caching; fault tolerance. Multi-agent systems; agent communication/delegation; evals; long-running, fault-tolerant agents; tools/prompt/program design; guardrails. Designing evals; monitoring performance/drift; fundamentals of Data Science/ML; able to turn a hazy problem into a structured exploration. Kubernetes, Docker, IaC (Terraform/CDK), networking, secrets, observability (Grafana/Prometheus/Datadog), CI/CD. Fine-tuning/RL; designing agent environments; managing inference. Security/compliance, data governance, integration with legacy systems. Exceptional, high-agency, low-ego. You bias to action, collaborate well, and are motivated by impact and outcome. Learning-driven. You pick up new domains quickly, ask sharp questions, and are comfortable with ambiguity. Product-minded. You translate field pain into clean abstractions, docs, and tools others can use. Adventurer. You are eager and willing to travel and experience new things, and meet unforeseen challenges with creativity and resourcefulness.
Responsibilities:
Own the mission end-to-end. Be the technical owner in the field, clarify goals, shape the plan, make the hard calls, and ship systems that move real metrics. Partner for impact by working directly with operators and executives to scope what matters most, then turn it into production results. Build with research in the loop by collaborating with AI R&D on prompts, tools, and model improvements; bring back field-signals that make the next model, and the platform, better. Turn wins into a flywheel by converting patterns into playbooks, products, and libraries so that every deployment is faster, more powerful, and more reliable than the last.
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