Junior AI Engineer — Build Production-Ready AI Solutions

Enablis; Leeds; On-site; GBP 45,000 - 65,000; Full time

Job summary

Enablis is building an AI-native consultancy that embeds AI into how we deliver, operate, and grow. This role sits at the intersection of software engineering, AI and client delivery, offering the chance to solve real business problems.

You’ll work with experienced engineers and delivery leads to prototype, test, and turn proofs of concept into production-ready products, while contributing to our internal AI platform and reusable toolsets.

Qualifications

• Strong programming fundamentals in Python or TypeScript.
• Understanding of software engineering principles including testing and clean code.
• Genuine interest in AI engineering (LLMs, RAG, agents, prompt engineering).
• Practical examples from university projects, personal projects or commercial experience.
• Curiosity about full-stack development, cloud technologies and end-to-end solutions.
• Strong problem-solving and communication skills.

Responsibilities

• Build AI prototypes and applications using client data.
• Work with LLMs, RAG pipelines, AI agents and tool integrations.
• Develop and improve solutions through feedback and iteration.
• Test AI applications, implement guardrails and improve reliability.
• Integrate data and systems within real-world security constraints.
• Contribute to internal AI tools and reusable templates.

Skills

Python

TypeScript

Testing

Clean code

Problem-solving

Communication

Curiosity

AI fundamentals

Full-stack basics

Cloud familiarity

Education

Bachelor’s degree in CS or related field

Tools

AWS

Google Cloud

Vector databases

Embeddings

LLM tooling

AI-assisted coding

Job description

Enablis is building an AI-native consultancy that embeds AI into how we deliver, operate, and grow. This role sits at the intersection of software engineering, AI and client delivery, offering the chance to solve real business problems.

You’ll work with experienced engineers and delivery leads to prototype, test, and turn proofs of concept into production-ready products, while contributing to our internal AI platform and reusable toolsets.