Job Description
The role involves developing AI-powered safety and coaching solutions for fleet management, focusing on building scalable, full-stack products that improve driver safety and operational efficiency through data analysis and integration of large language models.
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 be open 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 accuracy and usefulness of generated insights.
- Assist in maintaining the production systems your team owns 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 taking LLM systems to production (preferred).
- Experience working in a fast-paced environment and contributing to an early-stage product (preferred).
- Experience with maintaining software products at scale (preferred).
- Proficiency in Go, GraphQL, Typescript, React, and AWS (a plus).
Benefits & Perks
Competitive total compensation package including base salary, bonus, and RSUs
Employee-led remote and flexible working options
Health benefits
Opportunities for career growth and skill development
Inclusive work environment with accommodations for persons with disabilities
Support for work-life balance through flexible working arrangements
Ready to Apply?
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