AI Engineer

Design and implement AI systems leveraging LLMs, collaborate with customers, and contribute to platform development. Requires 3+ years of experience in software or machine learning engineering.

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.

Responsibilities:

Hit the ground running and take ownership of strategic accounts with iconic customers.
Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner. This includes model vetting, pilot development, and production implementation.
Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.
Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.
Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results
Stay up-to-date with AI and ML trends, and leverage your practical experience with Large Language Models (especially OpenAI's) to responsibly evaluate their trade-offs and bring innovative solutions to our customers.
Continuously improve solution design and implementation processes, incorporating feedback and lessons learned from previous projects.

Requirements

Bachelor's degree in Computer Science, Mathematics, or related fields.
At least 3 years of experience as a software engineer or machine learning engineer.
Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products.
An obsession with thorough AI/ML evaluation to create reliable applications.
Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas).
Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD).
Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP).
Strong communication and collaboration skills.

What we offer

Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity.
Opportunity to own $Xm+ accounts with some of the most iconic institutions, and drive transformative outcomes.
Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.
Competitive salary and benefits package, including equity options and healthcare.
Collaborative and supportive work environment, with a strong focus on personal and professional growth.
Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.
Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.

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 Engineer 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