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About the Role
We are looking for a Senior Fullstack AI Python Developer to join our AI Intelligent Document Processing (IDP) squad within the Data & AI Tribe. This team drives innovation and automation across global operations, developing intelligent, data-driven, and generative AI solutions for enterprise-scale adoption.
You’ll be part of an agile, cross-functional team, designing and implementing advanced AI, LLM, and automation-based platforms that transform how systems and clients interact.
Key Responsibilities
- Design, develop, and deploy AI-powered and fullstack applications in production environments.
- Build scalable backend services using Python frameworks (FastAPI, Flask, Django) and frontend components in Angular/TypeScript.
- Integrate and optimize LLM-based models and frameworks (LangChain, GPT, Transformers).
- Develop microservices, REST APIs, and containerized deployments using Docker and Kubernetes.
- Apply MLOps/DevOps best practices for automation, CI/CD, and monitoring (Jenkins, MLflow, Prometheus).
- Collaborate with data engineers and scientists to operationalize AI/ML workflows and data pipelines.
- Follow Clean Code, SOLID, and DDD principles to ensure maintainability and scalability.
- Support continuous improvement, refactoring, and innovation within the AI platform ecosystem.
Required Skills & Experience
- 5–8 years of experience in Python development (production-grade applications).
- Strong in FastAPI, Flask, Django, SQLAlchemy, Pandas, and PostgreSQL.
- Frontend experience with Angular (v15+), TypeScript, and JavaScript.
- Proven experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of CICD pipelines (Jenkins) and testing (unit/integration).
- Familiarity with LLM-based libraries (LangChain, PyTorch, GPT, Transformers).
- Understanding of cloud / on-prem environments, microservices, and scalable architecture.
- Excellent communication, collaboration, and problem-solving skills.
- Fluent in English (French or Dutch a plus).
Nice to Have
- Experience with RAG, agentic AI, or LLM fine-tuning.
- Knowledge of MLOps tools (MLflow, Airflow, Databricks).
- Familiarity with ElasticSearch, Kafka, or OAuth2.
- Exposure to predictive and descriptive modeling.
Why Join Us
- Contribute to AI-driven transformation projects in a global enterprise environment.
- Work with cutting-edge GenAI technologies and enterprise data platforms.
- Join a collaborative, international, and innovation-focused team.
Key Skills
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