Embedded AI Engineer for Enterprise Clients

Dex; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Dex seeks a technical leader to co-create AI deployments within the insurance industry, partnering with carriers to deliver scalable agentic AI solutions. You will own deployments from scoping to go-live and work closely with client teams to translate AI capabilities into tangible business outcomes.

You will build multi-modal AI systems, leverage prompt engineering, and lead API integrations while maintaining strong relationships with senior stakeholders.

Qualifications

• 2+ years in a forward-deployed, agent engineering, or founding role.
• Proven ability to build and ship production-grade code in Python.
• Hands-on experience with LLMs, prompt engineering, and agentic AI concepts.
• Ability to translate complex technical solutions into clear business outcomes for executives.
• Founder mindset: own problems end-to-end, balance coding with client relationships.

Responsibilities

• Own end-to-end AI deployments for major insurance carriers, from scoping to go-live.
• Design, build, and evolve multi-modal agentic AI systems leveraging prompt engineering and model integration.
• Act as the primary technical contact for senior client stakeholders.

Skills

Python

LLMs

Prompt engineering

Agentic AI

Business outcomes

Client ownership

Tools

APIs

Cloud platforms

AI/ML tooling

Job description

Dex seeks a technical leader to co-create AI deployments within the insurance industry, partnering with carriers to deliver scalable agentic AI solutions. You will own deployments from scoping to go-live and work closely with client teams to translate AI capabilities into tangible business outcomes.

You will build multi-modal AI systems, leverage prompt engineering, and lead API integrations while maintaining strong relationships with senior stakeholders.