Client-Facing AI Deployment Engineer

Dex; San Francisco (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Dex is partnering with a leading insurance technology company to deploy AI solutions for major carriers. You will sit as a trusted technical partner, handling deployments from scoping to go-live and serving as the main technical contact for senior stakeholders.

You will build, integrate, and ship multi-modal AI systems, leveraging prompt engineering, API integrations, and cloud tooling, while balancing strategic relationships with hands-on coding and delivery.

Formación

• 2+ years in a forward-deployed, agent engineering, or founding role with client ownership.
• Proven ability to build and ship production-grade code in Python with APIs and cloud tooling.
• Hands-on experience with LLMs, prompt engineering and agentic AI concepts.

Responsabilidades

• Own end-to-end AI deployments for major insurance carriers, from initial scoping to successful go-live.
• Design, build, and evolve multi-modal agentic AI systems, leveraging prompt engineering, model integration, and AI-assisted development.
• Act as the primary technical point of contact for senior client stakeholders, translating complex AI capabilities into business outcomes.
• Work hands-on with client tech teams to integrate AI solutions via APIs and custom environments.
• Scope and develop new features based on client needs, feeding critical insights back into the core product roadmap.

Conocimientos

Python

APIs & Cloud

LLMs & Prompting

Client facing

End-to-end ownership

Herramientas

APIs

Cloud platforms

AI tooling

Descripción del empleo

Dex is partnering with a leading insurance technology company to deploy AI solutions for major carriers. You will sit as a trusted technical partner, handling deployments from scoping to go-live and serving as the main technical contact for senior stakeholders.

You will build, integrate, and ship multi-modal AI systems, leveraging prompt engineering, API integrations, and cloud tooling, while balancing strategic relationships with hands-on coding and delivery.