Distyl embeds engineers and researchers inside large enterprises to build production AI, running a multi-cloud stack (AWS, GCP, Azure) on Kubernetes, Terraform and Helm with Python/FastAPI services and OpenAI models. A research-heavy, senior-skewed hiring mix plus projects on evaluation suites, synthetic data and LoRA fine-tuning point to custom model work, not just LLM wrappers. Hiring is accelerating.
Distyl is a San Francisco-based, privately held company founded in 2022 with 51–200 employees. It works with large enterprises on AI transformation, placing engineering and research teams on-site at the customer alongside its own customizable products. Its work centers on agentic systems that plug into customer APIs and operational workflows. The team is concentrated in engineering and research, with smaller sales, product, data and people functions, and hires in the United States and United Kingdom.
Distyl runs on AWS, GCP and Azure with Kubernetes, Terraform, Helm and Flux, builds services in Python, FastAPI, Go, Java and TypeScript/React, uses OpenAI models, and monitors with Datadog, Prometheus and Grafana.
Yes. Hiring is accelerating and led by engineering and research, mostly at senior level, with additional sales, product, data and HR roles across the United States and United Kingdom.
Agentic AI systems for enterprise workflows, compound AI architectures combining planning, retrieval and memory, evaluation suites, synthetic data and annotation strategies, and fine-tuning workflows.
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Distyl's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
