Junior AI Coding Engineer

Overview of the position

As Junior AI Coding Engineer at Enhesa, you will be the technical backbone of our High Value Intelligence (HVI) team. You will turn the team's day-to-day needs into working solutions, ranging from quick internal tools and prototypes to full, production-grade automation projects. Using AI-assisted development tools, you will build internal tools, automate repetitive workflows, turn manual procedures into reliable automated processes, and create applications that help HVI consultants do their best work.

Main tasks and responsibilities

Work closely with HVI team members to understand their challenges and translate them into practical technical solutions using AI-assisted coding tools (e.g. GitHub Copilot, Claude, etc.).

Build and maintain internal tools, dashboards, and automations that improve the efficiency and output of the HVI team, from lightweight utilities to end-to-end production automation.

Rapidly prototype solutions in response to team needs, ensuring timely delivery of functional outputs.

Turn existing manual procedures (SOPs) into automated processes, and document clearly how those processes work.

Automate repetitive or time-consuming tasks currently done manually by HVI consultants, freeing them to focus on high-value work.

Test solutions thoroughly and validate their results against real data before anything is used in production.

Review and validate AI-generated code and prompts to ensure they are fit for purpose, secure, and reliable.

Track and document work through tickets and project pages (Jira, Confluence).

Stay current with the evolving landscape of AI coding tools and bring new ideas and approaches to the team proactively.

Ensure all solutions comply with relevant data privacy regulations (GDPR) and Enhesa's internal security policies.

Key requirements

Experience

Proven ability to build working tools, scripts, or automations using AI-assisted coding tools.

Practical experience with AI coding assistants such as GitHub Copilot, Claude, or similar LLM-based tools.

Working knowledge of Python, JavaScript, or equivalent, enough to produce reliable, maintainable output with AI assistance.

Hands-on experience with version control (Git).

Basic knowledge of SQL and working with databases.

Experience with data handling, APIs, web scraping, or workflow automation tools (e.g. Power Automate, Zapier, or similar).

Strong analytical mindset with the ability to understand complex business needs and translate them into simple, effective technical solutions.

Strong prompt engineering skills: able to write, structure and iterate on prompts to get precise, reliable outputs from LLMs.

Experience using AI tools beyond coding, such as prompting LLMs to analyse documents, summarise content, or generate structured reports.

Nice to have

Familiarity with Linux, networking, or cloud computing.

Background in or exposure to regulatory, legal, compliance, or intelligence environments.

Soft Skills

Strong attention to accuracy and detail. In regulatory content, small errors can have a big impact.

Proactive mindset, with a strong sense of ownership and the ability to drive solutions forward independently.

Exceptional ability to listen, ask colleagues the right questions to understand how a process really works, and distil complex needs into clear, actionable outputs.

Comfortable working on longer, structured projects as well as quick prototypes.

Comfortable navigating ambiguity and shifting priorities in a fast-paced, business-facing environment.

Natural collaborator who builds trust quickly with both technical and non-technical colleagues.

Real passion for AI and emerging technologies, with the curiosity to continuously explore what's possible.

Additional Requirements

Team player. Ability to work on a team in a collaborative environment, sharing information and best practices.

Fluency in English. Other languages are an asset.

Proficiency in Microsoft Office Suite 365.