Agentic AI Full-Stack Engineer – Live Ops & Dispatch

Attis; Greater London; On-site; GBP 90,000 - 110,000; Full time

Benefits offered by this job

On-site work in London

Job summary

Attis is seeking a Full-Stack Product Engineer to own chat-driven operational interfaces and backend services for real-time, critical infrastructure use cases in London. You will work on agentic AI, live operations, and a cutting-edge LLM stack, with strong autonomy across TypeScript, Python, PostgreSQL, and AWS.

You will sit on-site with coordinators and ramp teams to see code deployed in real time, shaping how dispatch and logistics workflows are executed in high-stakes environments.

Qualifications

• 3+ years of production full-stack engineering experience using TypeScript and Python.
• Background shipping production LLM products (tool use, structured output, evals, latency management).
• Strong relational database skills using PostgreSQL and structured data access patterns.
• London-based location with full eligibility to work in the UK.

Responsibilities

• Build the end-to-end user interface and microservices enabling chat-driven operational workflows.
• Design tool layers over operational models to execute live data reading, writing, and task allocation.
• Implement deterministic fallbacks, audit trails, and strict permission scoping for agentic actions.
• Build evaluation harnesses to guarantee system reliability and prevent model regression.
• Deploy scalable Python services, PostgreSQL schema interactions, and responsive TypeScript frontends.

Skills

Full-stack engineering

LLM product shipping

Tools

TypeScript

Python

PostgreSQL

AWS

Job description

Attis is seeking a Full-Stack Product Engineer to own chat-driven operational interfaces and backend services for real-time, critical infrastructure use cases in London. You will work on agentic AI, live operations, and a cutting-edge LLM stack, with strong autonomy across TypeScript, Python, PostgreSQL, and AWS.

You will sit on-site with coordinators and ramp teams to see code deployed in real time, shaping how dispatch and logistics workflows are executed in high-stakes environments.