Client-Facing AI Deployment Engineer

Dex

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

24 hours ago
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Job summary

Dex partner role embedded with leading insurers, building AI deployments end-to-end from scoping to go-live. You’ll own end-to-end deployments from scoping through go-live, collaborating with client carriers to align technology with business goals.

You’ll design and shipping multi-modal agentic AI systems, lead prompt engineering, API integrations, and model orchestration. This role demands hands-on coding and strong client relationships, with a founder’s mindset and sense of urgency.

Qualifications

  • 2+ years in forward-deployed, agent engineering, or founding role.
  • Proven ability to ship production-grade Python code and APIs.
  • Hands-on with LLMs, prompt engineering, and agentic AI.
  • Able to translate complex technical solutions into business outcomes for executive audiences.
  • Founder mindset: ownership end-to-end and client relationships.

Responsibilities

  • 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.

Skills

Python
APIs
LLMs
Prompt engineering
Agentic AI
Client ownership

Tools

REST APIs
Cloud platforms

Job description

Dex partner role embedded with leading insurers, building AI deployments end-to-end from scoping to go-live. You’ll own end-to-end deployments from scoping through go-live, collaborating with client carriers to align technology with business goals.

You’ll design and shipping multi-modal agentic AI systems, lead prompt engineering, API integrations, and model orchestration. This role demands hands-on coding and strong client relationships, with a founder’s mindset and sense of urgency.

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