Software Engineer II building AI-native safety products for Samsara’s Connected Operations IoT platform. Owning full-stack customer-facing features, LLM workflows, and scalable production systems.
Responsibilities
Own customer-facing features and platform capabilities end to end, from design and implementation through production rollout and follow-through
Take AI prototypes to production at scale
Architect, build, test, and deliver full-stack products across reliable services, APIs, and web and mobile experiences
Integrate LLMs into safety workflows and develop agent tooling and retrieval-augmented generation (RAG)
Design interactions between AI agents and product UI
Design and run evaluations and human-in-the-loop feedback loops to improve insight accuracy, precision, and reliability
Use AI coding tools and agents to plan, build, and ship software
Make technical tradeoffs across speed, maintainability, scalability, cost, and customer impact
Own operational health of production systems and improve reliability and scalability
Collaborate across Engineering, Product, Design, ML, and platform teams
Champion and embed Samsara's cultural principles
Requirements
3+ years of professional software engineering experience building, shipping, and operating reliable customer-facing production systems
Strong programming fundamentals in Golang, Java, or Python
Experience writing clean, maintainable code and reviewing peers' code
Experience developing features or end-to-end solutions across backend services, APIs, and modern web applications
Experience or demonstrated interest in AI-native development, including integrating LLMs into products, building agentic workflows, or running evaluations
Experience using data, metrics, logs, tests, or tracing to investigate issues, validate releases, and improve reliability
Ability to independently own moderately complex projects, estimate, communicate, and deliver milestones
Strong communication and collaboration skills across engineering and cross-functional partners
Growth mindset, strong product intuition, and willingness to learn new technologies
Experience with customer-facing AI or LLM-powered products in production, agent tooling, RAG, prompt engineering, or conversational and voice experiences
Experience with LLM evaluation and observability tools such as Langfuse or Eino
Experience optimizing LLM-powered systems for cost and token efficiency
Experience using AI coding agents to plan and deliver features
Experience with Go, GraphQL, TypeScript, React, React Native, and AWS, Azure, or Google Cloud
Familiarity with observability, rollout practices, and monitoring approaches
Experience with fast-paced, highly collaborative environments and distributed teams
Bachelor's degree in Computer Science, Engineering, or a related field is an ideal-candidate qualification
Must reside in the US or Canada
Must secure and maintain the legal right to work in the specified work location
Benefits
Initial RSU grant with no vesting cliff
Ongoing equity refresh opportunities tied to performance
Performance-based bonus/variable pay
Flexible, employee-led remote model
Professional development stipend
Comprehensive health plans
Parental leave plans
Equal opportunity employment
Reasonable accommodations throughout the recruiting process
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