Strong software engineering fundamentals with a proven track record of shipping production systems.
Hands-on experience in building agent systems or AI applications in enterprise settings.
Proficient in writing and owning production code independently.
Deep understanding of evaluation metrics, agent behavior, and ensuring production reliability.
Ability to adapt and learn new technologies as needed for problem-solving.
Excellent communication skills for engaging with technical stakeholders in enterprise environments.
Responsibilities
Build and deploy production agent systems tailored for complex enterprise workflows.
Develop and maintain data pipelines and orchestration systems for efficient operations.
Run and analyze post-training workflows for customized models and agents.
Collaborate directly with customer researchers and engineers to refine solutions.
Diagnose performance issues across models, environments, and evaluation frameworks.
Translate intricate customer workflows into robust, testable AI systems.
Oversee technical deployments from initial implementation to full production use.
Benefits
Opportunity to work on cutting-edge AI technologies in a collaborative environment.
Direct interaction with technically sophisticated customers, enhancing professional growth.
Potential for flexible work arrangements for exceptional candidates.
Engagement in a dynamic team culture focused on innovation and problem-solving.
Full Job Description
Acerca del puesto Member of Technical Staff - Forward Deployed AI Engineer
San Francisco, California | Primarily On-site
We are seeking a highly technical Forward Deployed AI Engineer - Agents & Research Systems to build and deploy advanced agent systems for large enterprise environments.
The Opportunity
This role combines strong software engineering with applied AI research judgment. You will work directly with technically sophisticated customers while building the agent systems, data pipelines, post-training workflows, and evaluation infrastructure required for production deployments.
Key Responsibilities
Build and ship production agent systems for complex enterprise workflows.
Develop data pipelines, orchestration systems, and evaluation harnesses.
Run and analyze post-training workflows for customer-specific models and agents.
Work directly with customer researchers and engineers.
Evaluate whether performance issues originate in the model, environment, or evaluation framework.
Translate customer workflows into robust, testable AI systems.
Own technical deployments from implementation through production use.
Required Qualifications
Strong software engineering fundamentals and demonstrated ability to ship production systems.
Hands-on experience building agent systems, AI applications, or technical forward-deployed solutions.
Ability to personally write and own production code.
Strong understanding of evaluation, agent behavior, and production reliability.
Ability to work across technologies and learn new stacks as required by the problem.
Strong communication skills with technical enterprise stakeholders.
Seniority
The search is open from exceptional new graduates and early-career engineers through experienced senior engineers. Technical ability and demonstrated ownership are more important than years of experience.
Work Arrangement
The team is based in San Francisco and strongly prefers in-person collaboration. Limited flexibility may be considered for exceptional candidates, particularly experienced candidates elsewhere in the United States who can spend an initial period working on site.
