Otterai
Senior Software Engineer, Backend (Product)
Mountain View, CA · Senior
Sponsorship not specified$185k-$230kDetected 12 days ago
PythonLLMsRAGA/B TestingAccessibilityLeadershipMentoring
About the role
- You'll work across the full lifecycle of AI-driven features-from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces.
- You'll also play a key role in elevating the team: guiding technical decisions, mentoring engineers, and raising the bar for both product thinking and engineering quality.
Responsibilities
- 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 strong user impact.
- Drive system design for AI-backed experiences
- Lead technical direction within a product area
- Provide guidance on code quality, system design, and product thinking; help less experienced engineers operate more effectively in an AI-driven environment.
Requirements
- Has 5+ years of experience building and scaling product-facing systems, with a track record of owning complex features or product areas end-to-end
Compensation
- Salary Range: $185,000 to $230,000 USD per year.
- This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
Company info
- Elevate product quality through iteration and evaluation
- Mentor and raise the engineering bar
- Accelerate team velocity through AI-assisted development
- Writes clean, maintainable code (Python preferred) and makes strong architecture and design decisions across a modern web stack
- Brings a high bar for product quality, not just system correctness - consistently asks whether what's being built actually serves users well
- Has 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 strong ownership, and helps others do the same through mentorship and technical leadership
- Thrives in ambiguous, fast-moving environments and can set technical direction, not just execute within it
- Experience building or experimenting with LLM-powered features (prompting, evaluation, RAG, etc.)
- Experience designing systems that balance latency, cost, and quality
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