AI Engineer: Build Personal Assistant Platform

Byte; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Byte is building a personal AI agent to help students navigate university and daily life. We’re hiring an AI Engineer to work with our CTO to take features from idea to reliable product, combining ML fundamentals with API development, external service integration and frontend workflows.

Your early work will include email/calendar integrations, personal context, retrieval, agent workflows and the infrastructure for university pilots.

Qualifications

• Strong Python and SQL skills, with experience building and deploying backend services.
• Practical experience developing LLM applications involving retrieval, structured outputs or external tools.
• Solid ML fundamentals and understanding of transformers, embeddings, tokenisation and autoregressive generation.

Responsibilities

• Build retrieval pipelines, context extraction, structured model outputs and tool execution workflows.
• Connect external services: Outlook/calendar integrations via OAuth, webhooks and background jobs.
• Develop personal memory: storage and retrieval with sources, timestamps, corrections and access controls.
• Own features end-to-end: backend services, database models and frontend flows including loading states and errors.
• Ensure reliability: handle retries, timeouts and partial failures with explicit approvals for major actions.
• Measure quality: create evaluation datasets, analyze failures and assess latency and cost.
• Ship and operate: write tests, deploy services, monitor workflows and fix production issues.

Skills

Python

SQL

LLM applications

Backend services

Frontend (TypeScript/React)

Tools

PostgreSQL

Vector search

Redis

Docker

CI/CD

Microsoft Graph

Agent orchestration frameworks

Job description

Byte is building a personal AI agent to help students navigate university and daily life. We’re hiring an AI Engineer to work with our CTO to take features from idea to reliable product, combining ML fundamentals with API development, external service integration and frontend workflows.

Your early work will include email/calendar integrations, personal context, retrieval, agent workflows and the infrastructure for university pilots.