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Applied AI Engineer
Job Summary
Embed directly with retail insurance agencies to identify broken workflows and deploy governed AI execution using a Terminal platform. Own customer-side AI deployments end-to-end while feeding product signal back to the core team at an early-stage AI startup.
Essential Functions
- Embed at retail insurance agencies to identify broken workflows and deploy governed AI execution (~25% travel)
- Build and ship production AI integrations across systems, portals, email, and agency workflows independently
- Design review, attribution, and override patterns that make AI trustworthy and auditable in regulated environments
- Act as the conduit between customers and Engineering, Product, and Design teams to translate field reality into platform improvements
- Represent the company in customer settings by scoping problems, troubleshooting live, and reasoning through solutions
Required Qualifications
- 1 to 5 years of full-stack or backend software engineering experience
- Strong proficiency in TypeScript
- Must be able to independently build, debug, and launch production software
- Genuine AI-first mindset and willingness to direct AI agents to complete work
- Comfortable troubleshooting and explaining technical trade-offs in front of customers
- Based in or willing to relocate to Austin, TX with willingness to travel approximately 25% of the time
Preferred Qualifications
- Experience at an early-stage startup or Big Tech environment
- Ex-founder or early founding engineer experience
- Multiple internships, hackathon participation, or selective program involvement
- Experience in both startup and enterprise environments
Technical Skills
- TypeScript
- Python
- AI and LLM application frameworks
- RAG implementation
- LLM orchestration
- AI agents
- RESTful APIs
- CI/CD pipelines
Education & Certifications
Technical degree required.
Compensation & Benefits
Salary range of $130,000 to $200,000.