WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Artificial Intelligence Engineer

Experis
Newcastle upon Tyne, UK
9 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Software Debugging Python (Programming Language) Machine Learning Software Safety Software Engineering Large Language Models Generative AI Machine Learning Operations

Job description

  • Integrate AI/ML components into applications and operational workflows
  • Design and implement Retrieval-Augmented Generation (RAG) solutions
  • Evaluate LLM performance, identify failure modes, and implement mitigation strategies
  • Test, debug, and improve non-deterministic AI systems
  • Balance AI approaches with deterministic or statistical methods where appropriate
  • Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions

Requirements

  • Experience building or integrating AI/ML systems into real-world applications
  • Strong understanding of LLMs, ML models, and core statistical concepts
  • Experience evaluating AI systems and improving reliability and performance
  • Ability to debug complex, non-deterministic behaviours
  • Strong communication skills to explain AI trade-offs and risks, * Hands-on experience with RAG architectures and LLM tooling
  • Experience working in regulated or high-assurance environments
  • Familiarity with AI safety, risk, and governance considerations
  • Background in software engineering (Python or similar)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:01 min

Transitioning into the automotive artificial intelligence safety field

Tillman Radmer +2 · World Congress 2021

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

1:14 min

Addressing automotive mission-critical safety in embedded software development

David Romić · World Congress 2023

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:14 min

Introduction to generative AI and content warnings

Cheuk Ho · World Congress 2023

Videos

See all
Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative thumbnail
29:27
World Congress 2023 • almost 3 years ago

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

Psychological Safety in Software Engineering - Jenny-Margrethe Vej & Alexandra Hou Aldershaab thumbnail
48:05
about 1 month ago

Psychological Safety in Software Engineering - Jenny-Margrethe Vej & Alexandra Hou Aldershaab

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

You are not an AI developer thumbnail
23:55
World Congress 2024 • about 2 years ago

You are not an AI developer

Zan Markan

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

The shadows that follow the AI generative models thumbnail
28:30
World Congress 2023 • about 3 years ago

The shadows that follow the AI generative models

Cheuk Ho

Related articles

See all