Embedding VC - Member of Technical Staff, Platform

Mountain View, CA, United States$120k - $200k+ Equity3w ago

In Office Staff NA Cloud Computing Artificial Intelligence Platform Engineer AWS GCP Full Stack React TypeScript

Requirements

• 1+ years of professional software engineering experience building and shipping production features. • Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases. • Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it. • Experience building or integrating LLM-powered features in production is a strong plus. • Knowledge of building AI agents into products. • Product-minded: you ask "why should we build this" and "is this the right solution" as naturally as "how do I build this," and you treat customer outcomes as the measure of success, not the technology you shipped. • AI-native by default: you already use AI coding tools daily, and you've built or shipped features that use LLMs/AI. • Solid engineering fundamentals: testing, debugging, performance basics, and the judgment to know when to invest in each. • Comfortable with ambiguity and evolving priorities. • High ownership, pragmatism, and a bias toward shipping. • Experience building consumer-facing products at scale. • ML and Deep Learning knowledge and experience. • Experience with microservices, event-driven architectures, and cloud platforms (AWS/GCP).

Responsibilities

• Design, build, and ship full-stack product features — UI, API, and data layer — with a strong bias toward shipping and iterating quickly. • Own features end-to-end, from product discussion through implementation, testing, and release. • Embed AI directly into product workflows: AI-powered features, assistive UX, and automation that make the product feel intelligent, not just functional. • Build evaluation pipelines and data models for AI-powered features. • Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar. • Partner closely with Product and Design to shape scope and UX, not just implement a spec handed to you. • Improve the performance, reliability, and observability of assessment infrastructure.

Benefits

• The base salary range for this position is $120,000 – $200,000 USD annually. • Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).