Backend AI Engineer for Property Risk (Equity)

Pear VC; Austin, California (TX, MO); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Competitive salary + significant equity

Full medical, dental, and vision benefits

401(k) with company match

Daily lunch + commute support

Job summary

A leading company in property risk intelligence in Austin is seeking a backend engineer to own and architect backend systems for AI-driven property risk solutions. Candidates should have a BS in Computer Science and skills in Python and cloud platforms. The role offers competitive salary, medical benefits, and the opportunity to work in a fast-paced, innovative environment focused on disaster resilience.

Qualifications

• 0–5 years of engineering experience (1–3 years ideal). Exceptional new grads welcome.
• Experience shipping AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).
• Thrive in fast-paced, high-stakes environments with strong ownership mentality.

Responsibilities

• Own backend features end-to-end — from design to deployment.
• Architect scalable services and integrations for Fortune 500 insurers.
• Develop pipelines to ingest, validate, and transform large-scale property datasets.
• Build and optimize AI-assisted backend capabilities (API design).

Skills

Python

Databases

Cloud platforms (AWS/GCP)

AI-assisted services

Modern AI tools

Education

BS in Computer Science or equivalent

Job description

A leading company in property risk intelligence in Austin is seeking a backend engineer to own and architect backend systems for AI-driven property risk solutions. Candidates should have a BS in Computer Science and skills in Python and cloud platforms. The role offers competitive salary, medical benefits, and the opportunity to work in a fast-paced, innovative environment focused on disaster resilience.