Senior Software Engineer

interface.ai•Palo Alto, CA

27d•$232,030 - $240,689•Onsite

About The Position

As a Senior Software Engineer at interface.ai, you will play a crucial role in setting the technical direction for the systems you own. You will work directly with the VP of Engineering, CTO, and CEO in a collaborative, in-person environment. This role is ideal for an engineer who understands the importance of building robust systems while maintaining a fast pace of delivery. You will have the opportunity to lead the design and implementation of platform services, own technical decisions end-to-end, build and extend backend and frontend systems, drive the integration of AI capabilities, define and enforce engineering standards, and embed AI-native tooling into your workflow. You will also collaborate closely with product, design, and data teams in the office.

Requirements

5+ years of software engineering experience with a track record of shipping impactful, production-grade systems
A portfolio of work you led, not just contributed to — you can walk through design decisions, trade-offs, and outcomes
Deep proficiency in TypeScript and/or Python; solid JavaScript for frontend contributions
Strong platform engineering instincts: distributed systems, API design, cloud architecture (AWS/GCP), observability
Fluent in AI/ML engineering: you've built on top of LLMs, understand prompt engineering, and know where AI adds value — and where it doesn't
Experience designing systems under real constraints — latency, reliability, cost, and scale
BS/BA in Computer Science; graduate degree a plus (we take fundamentals seriously)
Self-directed and decisive: you identify problems before they're assigned, propose solutions before they're requested, and close loops without reminders
Committed to 5 days/week in SF — the collaboration is real and intentional

Nice To Haves

Production experience with conversational AI, dialogue systems, NLP pipelines, or agentic architectures
Background in fintech, banking infrastructure, or regulated financial environments
Experience being an early engineer at a startup that shipped successfully

Responsibilities

Lead the design and implementation of platform services — scalable, observable, and maintainable systems that power our AI products
Own technical decisions end-to-end: architecture, APIs, data models, performance, and security
Build and extend backend systems in TypeScript and Python; shape frontend experiences in JavaScript
Drive the integration of LLM-based and agentic AI capabilities into production systems
Define and enforce engineering standards: code review, testing strategies, deployment practices, and incident response
Embed AI-native tooling (Claude Code, Cursor) into your daily workflow and help the team get better at it
Work side-by-side with product, design, and data — in the office, in real time, every day