Software Engineer, Full Stack

LearnVector is building a trustworthy AI guide for learning. The Software Engineer, Full Stack will build the product end to end, including frontend experiences, backend services, data systems, and deployment infrastructure, while making foundational architecture decisions. The role also focuses on serving AI-driven learning experiences reliably through streaming interactions, session and memory state, background jobs, testing, CI, and observability.

Responsibilities

Build the product end to end: frontend experiences, backend services, data layer, and deployment — you'll touch all of it, and own large pieces outright

Make foundational architecture decisions — and revisit them honestly as reality reports back

Build the serving layer for AI-driven experiences: streaming responses, session and memory state, background generation and verification jobs, graceful degradation when models misbehave

Set the engineering bar: testing, CI, observability, and the pragmatism to know which corners are safe to cut at our stage and which never are

Ship daily alongside a founding team that includes Andrew, with direct exposure to every product decision

Preferred

Early-stage startup experience — you've been one of the first engineers somewhere and know what that demands

Real-time or voice interaction experience (WebSockets, WebRTC, audio pipelines)

Data-pipeline or event-analytics experience

Consumer-product sensibility: you sweat interaction details users can't name but always feel

Early-Stage Startup Experience

Real-Time Interaction

Voice Interaction

WebSockets

WebRTC

Audio Pipelines

Data Pipelines

Event Analytics

Consumer Product Sensibility

Benefits

On-site work in Mountain View, California

Company

Career coaching, outplacement, and recruiting for professionals and companies

Albany, New York, US

https://wearecareer.com/?utm_source=linkedin&utm_medium=organic_social&utm_campaign=bio_link

Founded in 2022

11-50 employees

Qualifications

AI-native: you default to AI-assisted coding and building automations in everything you do, and you stay current with the newest AI engineering practices because you can't help it

4+ years building and shipping production web applications end to end

Strong TypeScript/JavaScript and modern web frameworks (React/Next.js or similar), plus solid backend engineering (Node or Python), API design, and SQL

Experience owning production systems: deployment, monitoring, incident response, performance — you've been paged and made the pager quieter

Experience integrating LLM APIs into products, including streaming, and an informed view of what makes AI products feel great or terrible

Judgment: you can make an architecture call under uncertainty, state your reasoning in a paragraph, and change your mind when evidence arrives

Early-stage startup experience — you've been one of the first engineers somewhere and know what that demands

Real-time or voice interaction experience (WebSockets, WebRTC, audio pipelines)

Data-pipeline or event-analytics experience

Consumer-product sensibility: you sweat interaction details users can't name but always feel

Required skills

TypeScript, JavaScript, React/Next.js, Node.js, Python, API Design, SQL, Deployment, Monitoring, Incident Response, LLM API Integration

Preferred skills

Data-pipeline or event-analytics experience

Experience

4+ years