AI Python Engineer

pAre you an experienced Python Engineer with exposure to AI looking for a new exciting permanent role? /ppDo you live within a commutable distance of Brussels
- working 2 days per week in the office? /ppIf so, our rapidly expanding software client is keen to hear from you /ph3Attractive Salary plus bonus and company benefits. /h3h3The Role: /h3pYou 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. /ph3More Detail: /h3ulliAdvance 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). /liliDevelop AI solutions in Python (following good coding practices and efficiency), including robust testing and thorough code reviews. /liliWork closely with other engineers (AI, front-end, infrastructure) and product teams to align all development efforts and deliver cohesive IDP solutions. /liliDesign, build, and maintain core, scalable, and reusable components of our Python-based Intelligent Document Processing pipelines. /liliKeen to explore the very latest technologies, hands on experience with Large Language Models (prompt engineering, RAG, fine-tuning) /liliExperience in version control (git
- branches, pull requests) /liliWilling to work with Agile development methodology /liliExperience with Continuous Development / Continuous Integration (Gitlab) /li /ulh3The Person: /h3pWe are looking for someone bwith ideally at least 2-4 years' proven Python Engineering experience, /b coupled with experience of the following Frameworks/ Databases and AI exposure: /pulliFlask /liliDjango /liliFastAPI /li /ulh3Programming: /h3ulliProven Python skills on end to end projects or product /lili2-4 years of experience in a similar role /liliInterest or bfamiliarity with AI
- work or personal project based /b /liliMaster's Degree in Analytical field, or equivalent work experience /liliYou are familiar with most important parts of a modern SaaS stack: /li /ululliAPI frameworks in python such as Django or Flask. /liliDatabases and ORM/ODM (e.g., SQLalchemy or MongoEngine). /liliTask brokers and message queues (celery, AMQP). /liliCI/CD and pipelines. /liliCloud infrastructure and deployment /liliUnit and integration testing (Pytest). /li /ulh3Cloud, infrastructure and deployment /h3ulliFoundational bunderstanding of AWS, Azure or GCP /b, with an awareness of deploying and managing multi-tenant infrastructure. /liliAbility to contribute ideas for barchitectural optimisation /b, improving scalability and robustness with support from the DevOps team. /liliProficiency in bLinux /band command-line interface for system administration and automation. /liliBasic foundation in operating with cloud service providers to deploy bmulti-tenant infrastructures /b, managing and segregating user access control. /liliUnderstanding of bcontainerised applications /borchestration, including inter-service communication. /liliFamiliarity with bAgile development /bprocesses including daily stand-ups, weekly catch-ups, retrospectives, and hybrid approaches. /lilibAccountability: /bTakes ownership and responsibility for tasks and outcomes. /lilibProactiveness: /bAnticipates needs, takes initiative, and seeks continuous improvement. /lilibAgility: /bDemonstrates flexibility and adaptability in a dynamic environment. /lilibCustomer Focus: /bPrioritises user experience and customer satisfaction. /lilibCollaboration: /bEffectively works with and mentors colleagues, promoting teamwork and shared success. /lilibCommunication: /bClearly articulates complex technical information to diverse stakeholders. /li /ul