This is a role posted by Reval Recruiting on behalf of a client

Applied AI Engineer

Location: San Francisco, CA (On-Site)

This role is posted on behalf of the following client: They are a pioneering force in artificial intelligence, redefining how developers and organizations build with large language models. They provide the agent engineering platform and frameworks for developers to ship reliable agents fast, enabling teams to transform LLM systems into dependable production experiences. Receiving 100 million downloads per month and growing lightning-fast, they are looking to add an elite AI engineer to the team!

Role Overview

They are looking for an Applied AI Engineer to help build AI agents that power every part of the company from Marketing and GTM to Recruiting, Support, Internal Tools, and their Core Product. In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform operations. Your work will accelerate the mission to make intelligent, autonomous software a reality both internally and for their customers. Some of these projects will be open source and set new standards for how companies build with AI. If you are passionate about putting AI agents into real production use cases and seeing them drive measurable business impact, this role is for you!

What You'll Do

Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
Translate emerging AI research and tooling into practical, production-ready solutions.
Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
Contribute to the open-source ecosystem, including open source components, documentation, and shared tools.

Who You Are

Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
Strong coding skills in Python or TypeScript (ideally both).
Excellent communicator who can simplify complex technical ideas for diverse audiences.
Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.

Compensation

Salary: $175,000 - $190,000

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