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Mid LevelFull-timePythonJavaGitGoAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Samsara is seeking a Software Engineer II, AI Platform to join their Revenue Operations AI & Data Team. This role involves implementing and developing core platform capabilities that power Samsara’s next generation of AI-driven experiences. The position focuses on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products.
Key Responsibilities
- →Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara.
- →Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations.
- →Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond.
- →Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling.
- →Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities.
Requirements
- ✓3+ years of professional software engineering experience, with a strong emphasis on building and operating large-scale, production backend or platform systems.
- ✓Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services.
- ✓Experience implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines.
- ✓High proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas.
- ✓Expert in Python and substantial knowledge on different GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.).
- ✓Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches.
- ✓Strong product sense and ability to work in fast-paced, cross-functional environments.
- ✓Located in and authorized to work in the United States (this is a fully remote role).
Benefits
- ★Competitive total compensation package
- ★Employee-led remote and flexible working
- ★Health benefits
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