Jobs at Distyl

Research Engineers at Distyl build the bridge between frontier AI research and production systems. They design, prototype, and implement agentic AI systems for complex enterprise workflows, focusing on compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution.

Applied AI Researcher focused on post-training model adaptation. This role involves developing and evaluating techniques like supervised fine-tuning and preference optimization to align foundation models with real-world performance and enterprise system requirements. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior.

Lead AI Engineer responsible for the architecture, execution, and delivery of critical production AI systems for large enterprise customers. This role involves making technical decisions, leading project delivery, coaching engineers, and partnering with customer stakeholders to ensure systems deliver real business value.

Research Engineers at Distyl AI bridge frontier AI research and production systems. They design and implement AI systems, run experiments, build evaluation frameworks, and collaborate with researchers and stakeholders to turn new techniques into robust, measurable, and operable production systems.

Applied AI Researcher, System Discovery at Distyl. This role focuses on identifying entirely new classes of AI systems by exploring diverse architectures, modalities, and compositions. Researchers will draw connections across disparate domains and experiment with unconventional problem definitions to uncover new categories of human-AI collaboration.

Applied AI Researcher focusing on AI Systems at Distyl. This role involves designing and integrating end-to-end architectures for AI-native operations, orchestrating components like LLMs, retrievers, and execution agents. Researchers investigate complex system interactions, coordination, and emergent behavior to ensure robustness and composability in dynamic enterprise workflows.

AI Engineer, Enterprise Lead is a senior technical leadership role at Distyl AI. This position is accountable for the technical success of complex enterprise AI deployments, requiring the ability to reason with executives, set architecture, develop other engineers, and make sound technical judgments on AI systems.

Software Engineer Back End at Distyl AI to design, build, and optimize AI-native infrastructure for enterprise AI systems. Responsibilities include developing scalable cloud-native microservices and AI systems using Python, FastAPI, and SQLAlchemy, and ensuring system performance and reliability.

Applied AI Researcher, Benchmarking at Distyl. This role involves defining how progress in AI is measured by designing evaluation frameworks for reasoning depth, interaction quality, reliability, and operational impact. Researchers will construct benchmarks reflecting real-world complexity and explore new paradigms for evaluating intelligent systems.

Lead AI Strategist at Distyl partners with large enterprise clients' leadership teams (CIOs, COOs) to reshape business operations through AI strategy. This role involves deep understanding of client businesses, bringing Distyl's technical expertise to complex problems, and owning strategic outcomes as a trusted partner.

Applied AI Researcher focused on System Self-construction. This role involves designing architectures for autonomous system generation, assembly, and refinement, utilizing meta-learning loops, automated pipeline generation, and self-architecting frameworks. Researchers will study recursive design principles, drawing from meta-learning, program synthesis, and evolutionary computation.

Applied AI Researcher focused on System Self-improvement at Distyl. This role involves designing feedback-driven architectures that continuously evaluate and enhance their own performance through reflection, retraining, or workflow adaptation. The goal is to build AI systems that compound in capability through use.

Research Engineers at Distyl build the bridge between frontier AI research and production systems. They design and implement compound AI systems, run experiments, build evaluation frameworks, and collaborate with researchers and stakeholders to turn new techniques into robust, measurable, and operable systems in production.

Applied AI Researcher specializing in Multi-agent Systems. This role involves designing architectures for multiple agents to coordinate and solve complex problems through structured interaction and reasoning. Researchers will focus on systems that manage communication, information routing, and decision-making coordination among agents with diverse problem views.

AI Engineers build and operate production AI systems that deliver business value within customer environments. They are hands-on builders responsible for designing, implementing, deploying, and iterating on end-to-end AI systems, ensuring reliability and usefulness in production under enterprise constraints.

Senior Enterprise AI Architect at Distyl AI, a remote role. This individual will act as a long-term technical partner to Fortune 500 customers, building trust with C-suite and technical leaders, shaping AI solutions, and remaining accountable for the technical relationship post-signature. The role involves leading the technical arc of an account from initial conversations through architecture and feasibility, and partnering with engineers on implementation.

As an AI Strategist in Healthcare Solutions, you will lead technology solutions and drive the go-to-market process for healthcare customers. You will diagnose problems through an AI lens, design AI-enabled strategies, and build demos and proof-of-concept solutions to showcase the Distillery platform's capabilities.

AI Strategist at Distyl, a remote role focused on leading customer engagements. The strategist partners with technical leads to guide engineering and research teams, owning business outcomes and ensuring measurable impact from discovery to deployment.

As an AI Strategist at Distyl, you will lead customer engagements, collaborating with technical leads to guide engineering and research teams. Your primary responsibility is to own business outcomes, ensure value creation for customers, and build trust by managing the entire customer engagement lifecycle from problem understanding to user adoption and iteration.