Distyl builds Distillery, a proprietary platform that bundles LLM orchestration (ChatGPT, Claude, Perplexity), cloud infrastructure (AWS, GCP, Azure), and consulting services for Fortune 500 deployments. The tech stack reveals a production-grade ML ops maturity: Kubernetes, Terraform, Helm, Datadog, Prometheus, and Grafana span infrastructure-as-code and observability. Hiring is heavily weighted toward senior research (9 roles) and engineering (26 roles), with emerging account management (Account Director roles), signaling a transition from pure technical delivery toward managed customer success at scale.
Notable leadership hires: Account Director
Distyl partners with enterprise clients in telecommunications, healthcare, and financial services to design, build, and deploy AI systems. The company operates a three-tier business model: a proprietary platform (Distillery) that contextualizes foundation models for customer workflows, a research function that adapts and fine-tunes LLMs (LoRA adoption visible in stack), and a services organization that manages large-scale implementations. Active projects range from internal platform scaling to $10M+ healthcare program delivery and customer CDP integration. The 51–200 headcount is concentrated in engineering and research, with growing sales and account management capacity.
AWS, GCP, Azure, Kubernetes, Python, FastAPI, Terraform, Helm for infrastructure; React, TypeScript, Webpack for frontend; ChatGPT, Claude, Perplexity, OpenAI, and LoRA for LLM integration; Datadog, Prometheus, Grafana for observability.
Core projects include Distillery (internal LLM platform and AI-native product), design evaluation frameworks for AI systems, foundation model adaptation for real-world performance, large-scale AI deployments at Fortune 100 clients, and AI system integration into customer data platforms.
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