About the job
Join Distyl AI as an AI Engineer
At Distyl, we are at the forefront of applied AI technology, collaborating with some of the world’s most ambitious organizations to fundamentally reshape essential operations for the evolving landscape of AI. Our clientele includes industry leaders from sectors such as telecommunications, healthcare, insurance, manufacturing, consumer goods, and global social enterprises.
We focus on researching and implementing cutting-edge technologies that enable AI-native operations for both our partners and Distyl itself. Our initiatives include exploring self-constructing systems, perfecting reliable AI system executions, and developing products that revolutionize vital workflows. The impact of Distyl's innovations can be seen in numerous large-scale operations, influencing hundreds of millions of consumer interactions, tens of millions of supply chain transactions, and millions of patient journeys.
Supported by prominent investors such as Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and board members from over 20 Fortune 500 companies, we take pride in our impressive track record: a 100% success rate in production deployments and being among the few profitable enterprise AI firms.
What We Seek
We are looking for AI Engineers who can build and manage AI systems that deliver tangible business benefits within client environments. Ideal candidates will excel in ambiguous problem-solving, take initiative, and be eager to engage with production AI systems that require consistent performance under real-world constraints.
AI Engineers at Distyl are hands-on innovators, responsible for designing, deploying, and refining end-to-end AI systems. They closely collaborate with clients to accurately capture requirements, translate them into actionable system designs, and continuously enhance system performance through evaluation, iteration, and integration. Their emphasis is on making AI systems operational rather than merely conducting isolated experiments.
Core Responsibilities
Take ownership of the performance and behavior of AI systems deployed for clients.
Design and execute composite AI workflows that integrate models, agents, retrieval, evaluation, and execution into cohesive, production-ready systems tailored to actual SME requirements.
Manage live systems, assess performance, identify failure modes, and swiftly iterate to boost quality, reliability, and utility. This involves crafting prompts and agent logic, establishing evaluation frameworks, integrating feedback loops, and employing AI-driven tools for rapid debugging and experimentation.
