AI Engineer

VIVA Tech Talent; Belfast City District; Remote; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Performance bonus

Generous holiday

Job summary

VIVA Tech Talent is hiring an AI Engineer for a fully remote role in the UK. You will own projects from data exploration to live deployment, building models and genAI solutions with LLMs and retrieval. Expect clean Python, containerized code, APIs, and cloud deployment.

You’ll talk directly to clients, translate needs into workable AI solutions, and ship true value with minimal bureaucracy. A small, specialist AI team offers rapid growth and diverse client work.

Qualifications

• Around two or more years of commercial experience with Python and data.
• A demonstrable project using LLMs you can discuss confidently.
• Solid SQL and engineering habits: version control, testable code, and APIs.

Responsibilities

• Digging into data, building models, and validating outcomes.
• Designing GenAI solutions with LLMs and retrieval for real-use scenarios.
• Engineering work to deploy notebooks into live services (Python, APIs, cloud).
• Communicating results clearly to clients.

Skills

Python programming

Data analysis

LLMs & GenAI

Client communication

Code testing

Tools

FastAPI

Docker

Cloud platforms (Azure/AWS/GCP)

Git

APIs

Job description

AI Engineer | Remote (UK) | c.£40-45k + bonus

Plenty of data scientists build models that never get used. This role is about the ones that do.

VIVA Tech Talent are hiring for a small, specialist AI company that’s growing fast. Their job is to turn AI ideas into tools people actually use, for a varied mix of clients. Some of those projects make a real difference beyond the bottom line. They’re also developing products of their own, and whoever joins will have a hand in those as well.

The role

You’ll own work from the first look at the data through to something live and in use. That means:

• Digging into data, building models, and being honest about whether they work
• Designing GenAI solutions with LLMs and retrieval, and testing them properly so they hold up in real use
• Doing the engineering that gets your work out of a notebook: clean Python, APIs, containers and the cloud
• Talking to clients directly, understanding what they need, and explaining your results in plain English
• The team is small, so you’ll get plenty of trust and very little red tape.

You’ll probably have

• Around two or more years of commercial experience working with Python and data
• Something real you’ve built with LLMs that you can talk about with confidence
• Solid SQL and good engineering habits: version control, testable code, and APIs (FastAPI or similar)
• Some time working in Azure, AWS or GCP, and with Docker
• A way of working that already includes AI coding assistants

Stronger on one side than the other? That’s expected. Data scientists who want to grow their engineering skills, and engineers who’ve moved into AI, will both get support to fill the gaps.

Why it’s worth a conversation

• Your work will reach real users, not a slide deck
• Varied client work alongside product work with real upside
• An experienced team at an early stage, so you’ll grow faster here than at most places
• Fully remote, c.£40-45k plus a performance bonus and generous holiday