AI Engineer: Agentic Systems for Autonomous Mobility

The Ride Platform; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity

Comprehensive benefits

Vibrant workspace in Austin

Job summary

Roamly Labs is building AI-native systems for the next generation of travel, mobility, and protection. This role focuses on architecting autonomous agentic workflows and integrating AI with insurance tech stacks, telemetry pipelines, and FSD interfaces.

You’ll pioneer practical, production-ready solutions, push the frontier of LLMs and computer vision, and collaborate with a world-class team in a fast-moving, high-autonomy environment in Austin, TX.

Qualifications

• AI-native builder with production-grade software experience.
• Knowledge of MLOps, LLMOps and cloud infrastructure (AWS/GCP).
• Interest in InsurTech, autonomous mobility, and IoT/telemetry data.
• Strong autonomous problem-solving and creative mindset.

Responsibilities

• Design & Deploy Agentic Systems: build multi-agent AI architectures for autonomous reasoning, planning, and execution.
• Revolutionize Embedded Insurance: develop AI-driven products via agents powering embedded insurance solutions.
• Pioneer Telemetry & FSD Integration: architect scalable AI systems processing real-time vehicle telemetry with FSD/mobility systems.
• Rapid Prototyping to Production: turn ideas into MVPs quickly and scale to enterprise-grade solutions.
• Maintain an AI-Native culture by staying at the bleeding edge of generative AI, LLMs, CV, and RL.

Skills

AI-Native mindset

Agentic workflows

Embeddings & vector DBs

LLMs & generative AI

AWS/GCP

MLOps/LLMOps

Python

Tools

LangGraph

CrewAI

AutoGen

Job description

Roamly Labs is building AI-native systems for the next generation of travel, mobility, and protection. This role focuses on architecting autonomous agentic workflows and integrating AI with insurance tech stacks, telemetry pipelines, and FSD interfaces.

You’ll pioneer practical, production-ready solutions, push the frontier of LLMs and computer vision, and collaborate with a world-class team in a fast-moving, high-autonomy environment in Austin, TX.