AI Python Engineer

Are you an experienced Python Engineer with exposure to AI looking for a new exciting permanent role?

Do you live within a commutable distance of Brussels - working 2 days per week in the office?

If so, our rapidly expanding software client is keen to hear from you

Attractive Salary plus bonus and company benefits.

The Role:

You will work in the product team that builds my clients flagship solution, which combines low-code development, process automation (RPA), intelligent document processing (IDP), and contact center capabilities. AI is infused throughout each of the solutions in the platform.

More Detail:

• Advance our IDP platform's capabilities in line with the product roadmap, with a strong focus on enhancing AI-driven document understanding (e.g., data extraction, classification).
• Develop AI solutions in Python (following good coding practices and efficiency), including robust testing and thorough code reviews.
• Work closely with other engineers (AI, front-end, infrastructure) and product teams to align all development efforts and deliver cohesive IDP solutions.
• Design, build, and maintain core, scalable, and reusable components of our Python-based Intelligent Document Processing pipelines.
• Keen to explore the very latest technologies, hands on experience with Large Language Models (prompt engineering, RAG, fine-tuning)
• Experience in version control (git - branches, pull requests)
• Willing to work with Agile development methodology
• Experience with Continuous Development / Continuous Integration (Gitlab)

The Person:

We are looking for someone with ideally at least 2-4 years' proven Python Engineering experience, coupled with experience of the following Frameworks/ Databases and AI exposure:

• Flask
• Django
• FastAPI

Programming:

• Proven Python skills on end to end projects or product
• 2-4 years of experience in a similar role
• Interest or familiarity with AI - work or personal project based
• Master's Degree in Analytical field, or equivalent work experience
• You are familiar with most important parts of a modern SaaS stack:
  o API frameworks in python such as Django or Flask.
  o Databases and ORM/ODM (e.g., SQLalchemy or MongoEngine).
  o Task brokers and message queues (celery, AMQP).
  o CI/CD and pipelines.
  o Cloud infrastructure and deployment
  o Unit and integration testing (Pytest).

Cloud, infrastructure and deployment

• Foundational understanding of AWS, Azure or GCP, with an awareness of deploying and managing multi-tenant infrastructure.
• Ability to contribute ideas for architectural optimisation, improving scalability and robustness with support from the DevOps team.
• Proficiency in Linux and command-line interface for system administration and automation.
• Basic foundation in operating with cloud service providers to deploy multi-tenant infrastructures, managing and segregating user access control.
• Understanding of containerised applications orchestration, including inter-service communication.

Desirable Skills:

• Familiarity with Agile development processes including daily stand-ups, weekly catch-ups, retrospectives, and hybrid approaches.

Behavioural Competencies:

• Accountability: Takes ownership and responsibility for tasks and outcomes.
• Proactiveness: Anticipates needs, takes initiative, and seeks continuous improvement.
• Agility: Demonstrates flexibility and adaptability in a dynamic environment.
• Customer Focus: Prioritises user experience and customer satisfaction.
• Collaboration: Effectively works with and mentors colleagues, promoting teamwork and shared success.
• Communication: Clearly articulates complex technical information to diverse stakeholders.

Visa sponsorship is available for candidates with the level of Senior Python Engineering experience we are looking for.