AI Python Developer:
For one of our globally leading tech clients we are urgently looking for an experienced AI Python Developer for a long contract based in Houten, Utrecht, Netherlands.
Its paying well and my client can interview asap!
Role:
The
AI squad
continuously develops and improves a
Data Science and GenAI platform
, enhancing system and client interactions with automated and personalized services.
As a
Senior Fullstack AI Python Developer
, the candidate will join a new agile squad to conceive, design, and implement technical solutions based on
Generative AI
. Collaboration with squad members and external teams is key, along with the ability to propose innovative, resilient, and scalable solutions.
Required Skills \& Experience
Experience:
5–8 years with strong background in Python development and production-ready deployment, including
Generative AI
experience.
Mandatory Coding Skills:
Python 3, FastAPI, Flask, Django, SQLAlchemy, Pandas, Jupyter
Angular 15, TypeScript, JavaScript, CSS, SASS
SQL, PostgreSQL, MongoDB
Kubernetes, CI/CD, Jenkins
Unit and integration test development
Desired Coding Skills:
LLM-based libraries: LangChain, PyTorch, GPT, Transformers
Streamlit, PySpark, TensorFlow, python-pptx, docs, openpyxl
RAG, Agentic AI knowledge
ElasticSearch, OAuth2, Design System integration
Java (15), SpringBoot (2), Kotlin, RestAssured, Tailwind, Kafka
Other Technical Skills:
Technical solution design aligned with product needs
Refactoring and continuous improvement mindset
Methodologies: DDD, TDD, BDD, Clean Code, SOLID
REST, Microservices, Hexagonal Architecture
Strong analytical and synthesis skills
Advocate of pair programming
Architecture \& Infrastructure:
Data/ML solution architecture
Cloud and/or on-premise environment experience
Scalability and high availability principles
DevOps / MLOps:
CI/CD (Jenkins or equivalent)
Containerization (Docker), Orchestration (Kubernetes, Tanzu)
Monitoring \& Logging (Prometheus, Grafana)
MLOps tools (MLflow, Airflow, Splunk, Dynatrace)
Data Engineering (Plus):
ETL/ELT pipeline development
Spark, Databricks, or equivalent tools
ETL tools (Domino appreciated)
Object storage (S3)
If this is you, then please do not delay in applying!