Top Tech Jobs & Startup Jobs

Design, build, deploy, and operate production AI systems for customers. Implement end-to-end AI workflows (models, prompts, agents, retrieval, evaluators), write maintainable Python services, monitor and debug live systems, create evaluation and observability tooling, and work closely with stakeholders to iterate systems for reliability and business value.

Lead technical delivery and architecture of production AI systems for enterprise customers. Mentor engineers, integrate models/agents with customer data and APIs, operate and improve live systems, measure and debug failures, and drive pragmatic, reliable deployments that deliver business outcomes.

Lead org diagnostics, design and deliver manager enablement and individual contributor development, drive change management, partner with Head of People and functional leaders, and own end-to-end interventions with measurement and iteration to improve manager effectiveness, engagement, retention, and team health.

Lead and scale Distyl's talent acquisition function: build and manage a team of recruiters and sourcers, own the ATS and recruiting stack, design structured interviews and scorecards, run executive and specialized searches, partner on headcount strategy and international hiring, and deliver metrics-driven recruiting programs that scale with AI-driven hiring needs.

The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

The Applied AI Researcher will design benchmark frameworks, conduct statistical evaluations, and leverage AI to redefine enterprise software usage and measure intelligent system performance.

The Applied AI Researcher will design complex AI systems, integrate diverse components, and innovate in the utilization of AI for enterprise workflows. They will also conduct research on system interactions and workflows while building prototypes and demonstrating AI capabilities.

Researcher will adapt foundation models for real-world applications, focusing on performance, alignment, and human-centric objectives to optimize AI systems for enterprises.

The Applied AI Researcher will design self-improving systems that evaluate and enhance performance through feedback and self-modeling. The role demands a creative approach to redefine software usage, focusing on continuous learning and improvement using advanced AI techniques.

Serve as a trusted advisor to CIOs/COOs at large enterprises, define AI-driven business and operating strategies, translate executive vision into multi-year programs, mobilize engineering and research teams, and grow enterprise relationships into large, multi-million dollar engagements while remaining accountable for measurable outcomes.