Junior AI Engineer - Remote

You’ll join our engineering team as a Graduate AI Engineer, working with experienced engineers and data scientists on applied AI projects. Expect hands-on model integration, agentic workflow development, data engineering fundamentals, and early exposure to deployment and DevOps. This role offers structured progression, mentorship, and real responsibility from day one. Core Responsibilities Model Engineering Support senior engineers in building production AI services

Write clean Python for data processing, inference, and APIs

Contribute to testing, validation, and performance optimisation

Agentic Workflows Learn frameworks like LangChain, LangGraph, and Microsoft Agent Framework

Build components for multi-agent systems

Apply prompt engineering and RAG techniques

Contribute to internal research and documentation

Data Engineering Assist with ETL pipelines and dataset preparation

Work with PostgreSQL and gain exposure to NoSQL/vector databases

Support data quality and governance practices

Deployment & DevOps Learn Docker and containerisation

Gain hands-on experience with Azure

Contribute to CI/CD pipelines and basic monitoring

Education Degree in Computer Science, AI, Software Engineering, Data Science, or similar

Strong academic performance

Essential Skills Solid Python (NumPy, Pandas, core data structures)

Understanding of software engineering fundamentals (Git, testing)

Basic ML knowledge (supervised learning, neural networks, NLP)

SQL familiarity

Strong analytical problem-solving

Desirable Skills Exposure to FastAPI/Flask/Django

Cloud familiarity (Azure/AWS/GCP)

Docker basics

Interest in LLMs, prompt engineering, or GenAI

Personal projects, hackathons, open-source contributions