Exsolvium
AI Engineer: Talent Pool Registration (Not a Live Vacancy)
Please note: We are not currently recruiting for a specific role. We’re building a network of AI Engineers so we can move quickly when client opportunities arise. Registering your interest means we can contact you as suitable roles come in.
About the role
Our clients are looking for AI Engineers to design, build, and deploy intelligent systems that solve real business problems. You’ll work with modern machine learning and large language model technologies, taking ideas from prototype through to production, usually as part of a multidisciplinary team.
Typical responsibilities
Build and integrate AI-powered features and applications, including LLM-based tools, agents, and retrieval systems
Select, fine-tune, evaluate, and deploy models to meet performance and cost requirements
Develop robust data and inference pipelines
Monitor models in production and improve their quality, reliability, and safety
Work with product, engineering, and business stakeholders to turn requirements into practical solutions
Example skills and experience
Strong Python programming; familiarity with other languages is a plus
Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Hands-on work with LLMs and APIs, including prompt design, RAG, and evaluation
Knowledge of vector databases and search (e.g. pgvector, Pinecone, Elasticsearch)
Cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes)
MLOps practices: CI/CD, experiment tracking, model monitoring
Solid grounding in software engineering, APIs, and data handling
Clear communication and the ability to explain technical concepts to non-technical colleagues
Who we’d like to hear from
Candidates from early-career to senior level, in permanent, contract, or interim roles. A degree in computer science, mathematics, engineering, or a related field is useful but not essential if you have relevant practical experience.
What happens next
Send us your CV and a few lines on your skills and preferences (location, remote or hybrid working, salary or day rate, availability). We’ll keep your details on file, contact you when a relevant opportunity arises, and handle your data in line with our privacy policy.