Full Stack Engineer | Series B AI Startup

evoke; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Team dinners

Top-tier hardware

Unlimited AI tooling budget

Job summary

evoke is a Sunnyvale-based on-site role hiring a Full-Stack Engineer to help build AI-native video intelligence systems. You will work on backend services that ingest and process video data, ship AI features, and design robust APIs. Frontend work uses TypeScript/React, and you’ll participate in distributed, real-time processing with edge devices.

The team values strong technical depth, startup experience, and a track record of delivering fast in a high-growth environment.

Qualifications

• CS degree or technical background required.
• 2–8 years of software engineering experience with tenure.
• Startup or scale-up experience preferred.

Responsibilities

• Build and scale backend services ingesting, processing, and serving video/sensor data.
• Ship AI-native features end-to-end using multimodal LLMs and CV.
• Build user-facing frontends in TypeScript/React.
• Design APIs interfacing with ML pipelines and edge devices.
• Work on distributed systems, real-time processing, and high availability.

Skills

Backend development

TypeScript/React

APIs design

Distributed systems

Real-time processing

Education

CS degree

Tools

ML pipelines

Job description

Full-Stack Engineer - Sunnyvale, CA (On-site) | Series B AI Startup

We’re working with a fast-growing, Series B-backed AI company reimagining physical security - turning cameras and sensors into an intelligent, autonomous system using multimodal LLMs and computer vision.

Founded by robotics PhDs (Oxford & Cornell) who previously led engineering at a major autonomous-vehicle company, the team has raised over $60M+ from top-tier VCs and is going after a $50B+ legacy industry that’s ripe for disruption.

The role: You’ll join the core engineering team building the systems behind an AI-native video intelligence platform - think natural-language video search, real-time detections, and agentic workflows.

You'll:

• Build and scale backend services that ingest, process, and serve video/sensor data at scale
• Ship AI-native features end-to-end, working with multimodal LLMs and computer vision
• Build user-facing frontends in TypeScript/React
• Design APIs that interface with ML pipelines and an edge device fleet
• Work on distributed systems, real-time processing, and high availability

What we’re looking for:

• CS degree (or a similarly technical background - physics, maths, mechanical engineering)
• ~2-8 years of software engineering experience, with strong tenure
• Startup or scale-up experience - you know what "good" looks like at speed

Package:

• Base: $180k - $250k + early-stage equity
• Daily team dinners, top-tier hardware, unlimited AI tooling budget