Forward Deployed AI Engineer (All Levels) at Distyl AI

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

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

Responsibilities

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: Set technical direction and architecture for multi-million-dollar customer engagements
At higher levels of experience: Earn executive trust and guide enterprise engineers through rollout and long-term operations
At higher levels of experience: Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching

Skills

LLMs

GenAI

Prompt Design

Model Evaluation

Agentic Logic

Full-Stack Development

AI Deployment

Distyl AI

Provides customized AI solutions for enterprises

About Distyl AI

Distyl.ai provides artificial intelligence solutions tailored for enterprises, focusing on enhancing productivity and streamlining operations. Their products utilize generative AI and large language models, which can be customized to fit a client's specific data, workflows, and systems. This customization allows for smooth integration with existing technologies. Distyl.ai serves a wide range of clients, including Fortune 500 companies in sectors like Consumer Packaged Goods, Retail, Healthcare, Finance, and Manufacturing, as well as federal agencies. The company’s experienced team, which includes professionals from major tech firms and top AI research institutions, enables them to create scalable solutions that meet high standards. Distyl.ai aims to unlock value for clients quickly, typically within a quarter, by providing tailored AI applications that address unique business needs.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$26.3MTotal Funding

SERIES_ACompany Stage

Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries

11-50Employees