Otter. ai
Tech / AI / Software
SeniorSoftwareEngineer,Backend(Product)
“Senior Software Engineer, Backend (Product) at Otter. ai. Skills: AI-native product experiences, AI capabilities translate into real user value, full lifecycle of AI-driven features, design the systems that power them, AI outputs are reliable, performant, and aligned with real user needs, complex, ambiguous problems, concept to production, thoughtful tradeoffs across latency, cost, and quality, how LLMs, retrieval systems, and structured data come together, cohesive product experiences, summarie”
Industry & Context.
take on complex, ambiguous problems; drive them from concept to production; making thoughtful tradeoffs across latency, cost, and quality; Break down ambiguous problems, define approaches, and guide execution
What They're Looking For.
Must Have
5+ years of experience building and scaling product-facing systems, track record of owning complex features or product areas end-to-end, Writes clean, maintainable code, makes architecture and design decisions across a modern web stack, high bar for product quality, not just system correctness, experience working with AI/LLM-powered systems, or can ramp quickly and contribute meaningfully to shaping their behavior in production, Drives projects from idea → production with ownership, Thrives in ambiguous, fast-moving environments, can set technical direction, not just execute within it
Nice to Have
Experience building or experimenting with LLM-powered features (prompting, evaluation, RAG, etc.), Experience designing systems that balance latency, cost, and quality, Exposure to user feedback loops, experimentation, or evaluation frameworks
What You'll Do.
Own end-to-end delivery of AI product features
Lead the design and implementation of complex features—from initial concept through production—ensuring high quality and user impact
Drive system design for AI-backed experiences
Architect systems that orchestrate LLMs
making thoughtful tradeoffs between flexibility
Establish and improve feedback loops (evaluation frameworks
experimentation) to systematically improve AI output quality
Lead technical direction within a product area
Break down ambiguous problems
and guide execution across multiple engineers
Provide guidance on code quality
and product help less experienced engineers operate more effectively in an AI-driven environment
Model effective use of modern AI tools to improve iteration speed
and overall team productivity
How You'll Work.
Team & Collaboration
Working closely with product, design, and AI teams; help less experienced engineers operate more effectively; mentorship; technical leadership
Process & Methodology
Drive projects from idea → production with ownership, Break down ambiguous problems, define approaches, and guide execution across multiple engineers
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