🕒 11 days ago
Scout exceptional talent by building market maps, developing evidence-backed judgments, and engaging people who are not actively looking to make high-quality hires others might miss.
Distyl jobs
Enterprise AI transformation partner.
🏢 Artificial Intelligence🤖 Enterprise AI Services
25 open roles at Distyl
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🕒 12 days ago
Build and operate production AI systems for customer environments, translating operational needs into reliable workflows and improving system performance through evaluation, integration, and iteration.
🕒 12 days ago
Design and deploy production-grade LLM systems, from intelligent agents to full-stack AI products, while shaping architecture, evaluation, and platform capabilities for complex enterprise workflows.
🕒 26 days ago
Coordinate recruiting and People Operations, owning interview logistics and candidate communication alongside onboarding, benefits administration, HR records, and process improvements.
🕒 27 days ago
Own and improve the build, test, security, and release systems used across engineering teams, including reliable delivery pipelines, coding-agent workflows, and software supply-chain controls.
🕒 27 days ago
Own cloud architecture and end-to-end delivery of an AI platform across hosted, customer VPC, and on-premises environments, building reusable infrastructure and improving deployment reliability at scale.
📅 Sep 15
Serve as a senior technical partner to strategic enterprise customers, shaping AI opportunities, owning solution architecture and feasibility, and guiding technical relationships from early discovery through delivery and expansion.
📅 Jul 7
Partner with senior enterprise leaders to shape AI-driven business and technology strategy, turn high-value opportunities into measurable programs, and grow trusted, multi-year customer relationships.
📅 Jul 7
Research Engineers develop and evaluate post-training methods that improve AI behavior, building experimentation infrastructure and translating promising techniques into reliable systems for enterprise workflows.
📅 Jul 7
Research Engineers design, evaluate, and deploy agentic AI systems for complex enterprise workflows, translating frontier research into reliable production systems and improving their behavior through experiments and evaluation.
📅 Jul 7
Build and improve data systems that make AI workflows reliable in production, from pipelines and evaluation frameworks to customer data workflows, partnering with research, engineering, and customer teams.
📅 Jun 18
Lead technical direction and delivery for complex enterprise AI deployments, developing engineering leaders and ensuring production systems are reliable, coherent, and valuable to customers.
📅 Jun 18
Lead the architecture, delivery, and ongoing improvement of production AI systems for enterprise customers, guiding engineers and partnering with stakeholders to achieve reliable, measurable business outcomes.
📅 Jun 18
Build, deploy, and improve production AI systems for customer workflows, combining models, tools, retrieval, and evaluation while owning reliability, performance, and real-world outcomes.
📅 May 28
Lead customer AI engagements from discovery through adoption and measurable impact, aligning client stakeholders with engineers and researchers to identify valuable problems and deliver reliable solutions.
📅 May 18
Design and study multi-agent architectures that coordinate communication, delegation, critique, and decision-making, and validate new approaches through prototypes and experiments on complex workflows.
📅 May 14
Lead healthcare AI solutioning from discovery through deal close, translating operational challenges into data-driven strategies, prototypes, demos, and proof-of-concept solutions that demonstrate business value.
📅 Apr 29
Build and optimize Distillery’s AI-native platform, developing secure, scalable backend services and infrastructure while improving reliability and translating enterprise operational needs into platform capabilities.
📅 Jan 21
Lead end-to-end customer engagements that identify high-value AI opportunities, guide technical teams in delivering reliable solutions, and drive adoption and measurable customer outcomes.
📅 Oct 16, 2025
Explore new classes of AI systems by connecting ideas across domains, prototyping unconventional architectures and human–AI workflows, and testing how models can reshape enterprise work.
📅 Oct 16, 2025
Design and prototype AI systems that autonomously generate, assemble, evaluate, and refine other systems, advancing self-construction through meta-learning, program synthesis, and recursive design.
📅 Oct 16, 2025
Design and study AI systems that evaluate their own performance, identify weaknesses, and improve through reflection, retraining, or workflow adaptation to enable continuously learning enterprise systems.
📅 Oct 16, 2025
Design and study compound AI systems that coordinate models, agents, and tools across enterprise workflows, building prototypes and experiments to improve system reliability, composability, and alignment.
📅 Oct 16, 2025
Research and evaluate post-training methods that adapt foundation models to enterprise needs, improving alignment, robustness, and controllability while building practical AI systems and validating results through experiments.
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