Job Description
The role involves developing AI-powered safety and coaching products for fleet management, focusing on building scalable, full-stack solutions that leverage machine learning and large language models to improve driver safety and operational efficiency.
Key Responsibilities
- Solve complex problems by architecting, building, testing, and delivering full-stack products.
- Develop high-quality, scalable, and maintainable code while turning ambiguous problems into clear solutions.
- Own and drive end-to-end technical domains with minimal oversight, making strong architectural decisions.
- Integrate large language models (LLMs) into safety workflows, including designing evaluations and feedback loops.
- Communicate effectively with cross-functional teams to align stakeholders and clarify priorities.
- Own the operational health of production systems and contribute to the core architecture and roadmap.
- Mentor junior and mid-level engineers, promoting engineering best practices and culture.
Requirements
- Minimum of 5 years of experience in software development.
- Experience shipping features that are used by customers and iterating on customer feedback to inform what to deliver next.
- Strong communication skills and a desire to collaborate, with the ability to explain why a feature is built a certain way and openness to suggestions from other engineers and stakeholders.
- A growth mindset and excitement around building new skills and expertise, with the ability to be a quick learner and operate with minimum supervision.
- Comfortable with building out end-to-end solutions, with a preference for either front-end or back-end development, but willing to work across the stack.
- Familiarity with integrating large language models (LLMs) into products, including running evaluations and creating feedback loops to improve the accuracy and usefulness of generated insights.
- Assist in maintaining the production systems owned by the team and provide operational support when necessary.
- Utilize logs and metrics for tracking down and investigating bugs, ensuring the robustness and reliability of systems.
- Experience with full-stack development in a fast-paced environment and contributing to an early-stage product, ideally with 5 years of experience.
- Experience with taking LLM systems to production.
- Ability to collaborate effectively on a geographically distributed team.
- Experience maintaining software products at scale.
- Experience with technologies such as Go, GraphQL, Typescript, React, and AWS is a plus.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and RSUs
Remote and flexible working options
Health benefits
Opportunities for career growth and skill development
Inclusive work environment with accommodations for disabilities
Ready to Apply?
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