Distyl's Posts (216)

Applied AI Researcher, AI Systems

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. Key Responsibilities The AI Systems team focuses on designing compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution. Researchers integrate diverse components (LLMs, retrievers, evaluators, memory systems, and execution agents) into robust, scalable systems that perform reliably across dynamic enterprise workflows. Researchers in AI Systems investigate the governing principles behind complex system interactions. They study coordination, information flow, and emergent behavior across multiple agents and models. Their work identifies the underlying mechanics of robustness, composability, and alignment, in effect establishing the design language for how intelligent systems should be built. What We Require Experience Building with Models, Not Just Building Models : We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.). Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done. Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow. Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI. Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize. What We Offer An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space. Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions. Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries. Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. A collaborative and intellectually stimulating environment that encourages innovation and personal growth. If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe. Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

Location: San Francisco

Salary range: None - None

Technical Recruiter

About Distyl AI: Distyl AI develops AI-native technologies for humans & AI to collaborate to power the operations of the Global Fortune 500. In just over 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating, and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), and board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For: Distyl is looking for a versatile, hands-on technical recruiter with a track record of building incredible teams in high growth mode. In this role, you will handle recruiting for key roles from end-to-end across engineering, strategy, research, and other functions. The ideal candidate thrives in a fast-paced environment, excels at managing multiple priorities, and has a strong passion for building incredible teams. You’ll bring creativity, versatility, and excellent communication skills, ensuring that Distyl continues to attract top talent and operate efficiently. Key Responsibilities: Lead full-cycle recruiting for key technical roles (AI Engineers, AI Researchers, AI Strategists, and more). Source top talent through targeted outreach, networking, referrals, and creative campaigns and AI-driven strategies using tools like ChatGPT or LinkedIn AI extensions. Use AI tools to streamline recruiting workflows , write high-conversion outreach, screen candidates efficiently, and analyze recruiting data to improve performance. Build strong partnerships with hiring managers , calibrating on role requirements, interview structure, and ideal profiles. Deliver outstanding candidate experiences , ensuring timely communication, clarity in process, and a high-touch approach from start to finish. Develop and maintain robust talent pipelines to meet current and future hiring needs, with a focus on quality and long-term fit. Champion our brand in the AI and tech talent space , attending relevant events, conferences, and meetups to represent our team and values. What We're Looking For 5+ years of experience in technical recruiting , with a proven track record hiring technical roles in a high-growth or startup environment. Comfort using or experimenting with AI tools to enhance sourcing, outreach, screening , or interview coordination. Ability to move fast, operate autonomously , and navigate ambiguity with urgency. Excellent written and verbal communication skills, especially when engaging technical talent. Highly organized, data-aware, and committed to continuously improving the recruiting process. A collaborative spirit with strong judgment, discretion, and an eye for long-term team building. Exposure to tools like Ashby, ChatGPT, Juicebox, or other AI-native recruiting tools Technical acumen or bachelor's degree in computer science, engineering or related field is a plus What We Offer: Competitive salary and benefits package, including equity options and healthcare. The opportunity to work at a mission-driven AI startup that is transforming how Fortune 500 companies operate. A fast-paced, dynamic work environment where your contributions will directly impact the company’s success. A collaborative culture that values professional growth and encourages taking on new responsibilities. Exposure to cutting-edge AI technologies and the opportunity to build a world-class team. If you are a proactive, detail-oriented professional who excels in supporting high-powered teams, we encourage you to apply and join our mission of enabling the future of AI-powered enterprises. Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days per week in one of our offices. We have offices in New York City and San Francisco.

Location: San Francisco

Salary range: None - None

AI Engineer (All Levels)

Distyl AI develops AI-native technologies that enable humans and AI to collaboratively power operations across the Global Fortune 1000. In just 24 months, we’ve partnered with some of the world’s most iconic enterprises including F100 telecom, healthcare, manufacturing, insurance, and retail companies delivering AI deployments with $100M+ in impact. Our platform, Distillery , combined with our cross-functional teams of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work that solve high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and national research labs. We maintain a deep partnership with OpenAI and are backed by Lightspeed, Khosla, Coatue, Nat Friedman, and board members from over 20 Fortune 500 companies. What We’re Looking For We’re hiring AI Engineers at all levels of experience , from early-career builders to senior engineers who can lead large-scale deployments and shape our customers' technical roadmap. Regardless of seniority, every AI Engineer at Distyl is a hands-on contributor responsible for designing, implementing, and deploying production-grade AI systems using Large Language Models (LLMs). At the most senior levels, our engineers operate as the technical owners of F500 engagements, defining architecture, engaging with enterprise leaders, and leading technical teams to transform mission-critical workflows. Responsibilities All AI Engineers at Distyl are expected to: Design and Deploy LLM-Powered Systems: Build and deploy robust GenAI systems that deliver measurable business value. Includes model evaluation, prompt design, agent/agentic logic, and full-stack application development. Engage Deeply with Customers: Work directly with customer stakeholders to understand their most pressing business and technical needs, and turn those into tailored, high-impact AI solutions. Build and Improve Our Platform: Contribute to the development of Distillery, our internal LLM application platform, by developing reusable tools, infrastructure, and workflows that scale across customers. Deliver Production Quality: Ensure systems are observable, maintainable, and meet rigorous reliability, performance, and security standards. Evaluate AI Systems Scientifically: Lead evaluation efforts balancing accuracy, latency, explainability, cost, and robustness. Continuously Improve: Refine development workflows, platform architecture, and deployment practices to raise the engineering bar. At higher levels of experience, you will also: Set technical direction and architecture for multi-million-dollar customer engagements. Earn executive trust and guide enterprise engineers through rollout and long-term operations. Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching. Qualifications We believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence. We’re excited to meet candidates with: Proficiency in Python or Typescript (experience with a diverse set of languages is a plus), with hands-on experience using LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP and Agents SDK. Experience building and deploying LLM-powered AI agents in production, including tool use, prompt orchestration, RAG, and long-horizon task execution. Deep understanding of agent design patterns, with practical experience in observability, debugging, and human-in-the-loop feedback systems. Skilled at solving complex, ambiguous problems using cutting-edge AI techniques to deliver meaningful business outcomes. Familiar with responsible AI practices (e.g., auditability, interpretability), and experienced in aligning AI systems with enterprise-grade requirements. Comfortable working across cloud environments (AWS, GCP, Azure) with modern DevOps tools (Docker, CI/CD), and collaborating closely with cross-functional teams. For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor others What We Offer Competitive salary and meaningful equity. 100% covered medical, dental, and vision for employees and dependents. 401(k) with additional perks (commuter benefits, in-office lunch). Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems. Ownership of high-impact projects across top enterprises. A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence. Offices in San Francisco and New York with hybrid collaboration (3+ days/week in-office).

Location: San Francisco

Salary range: None - None

Software Engineer - Back End

About Distyl AI Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery , along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work , solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI , jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s , Distyl is building the future of AI-powered enterprise operations. What You'll Do As a Software Engineer Back End you will help design, build, and optimize Distillery —our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows. Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges. Key Responsibilities Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure. Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure. Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration. Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures. Who We’re Looking For We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience). Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems. Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code. Strong interest in AI-native development , leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows. Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus. What We Offer The opportunity to build enterprise-scale AI infrastructure used by Fortune 500 companies. Work alongside top engineers, AI researchers, and enterprise experts in an AI-native company. Competitive salary, benefits, and equity in a fast-growing startup. Hybrid work environment – 3 days a week in our NYC or San Francisco office. If you’re a strong backend software engineer with a passion for building AI infrastructure, we’d love to hear from you. Apply now and help shape the future of AI-powered enterprise systems!

Location: New York

Salary range: None - None

Applied AI Researcher, Post-Training

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. Key Responsibilities The Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements. Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl’s enterprise systems. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior. Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives. They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability. Their work informs how Distyl leverages foundation models safely, effectively, and at scale across industries. What We Require Deep Understanding of Post-training Techniques: Familiarity with supervised fine-tuning, preference optimization (RLHF/DPO), LoRA/PEFT, and instruction-tuning pipelines. Experience Adapting Frontier Models: You’ve tuned or adapted LLMs/SLMs to specialized domains or behaviors through data curation, reward modeling, or continual pretraining. Experience Building with Models, Not Just Building Models : We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.). Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done. Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow. Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI. Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize. What We Offer An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space. Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions. Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries. Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. A collaborative and intellectually stimulating environment that encourages innovation and personal growth. If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe. Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

Location: San Francisco

Salary range: None - None

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