Overview
We are looking for an AI Solutions Developer to support the design, development, and integration of advanced AI components within modern IT architectures. The ideal candidate has strong experience with AI/ML technologies, hands-on development skills, and the ability to communicate effectively with both technical and business stakeholders.
Key Responsibilities
AI Development \& Engineering
Develop and maintain AI-powered software applications integrating NLP, Machine Learning, and Generative AI.
Train custom machine learning and deep learning models (including transformer-based architectures) using structured and unstructured data.
Implement modern MLOps practices to support model training, deployment, monitoring, and versioning.
Architecture \& Design
Design and implement IT architecture for AI solutions using the most appropriate AI components, techniques, and models.
Apply modern AI methodologies and best practices within enterprise IT environments.
Ensure proper integration with data pipelines, APIs, services, and enterprise systems.
Technical Collaboration \& Communication
Present solution blueprints to both technical and business audiences.
Moderate discussions, gather feedback, and translate business needs into technical requirements.
Support best practices for data, master data, and metadata management.
Required Skills \& Expertise
Technical Skills
Programming: Excellent knowledge of Python and core AI/ML/NLP libraries (pandas, OpenAI, spaCy, PyTorch, TensorFlow, Transformers, scikit-learn, NLTK).
AI/ML Expertise: Proven experience with advanced AI techniques including LLMs, generative AI, RAG pipelines, agentic workflows (OpenAI, LangChain, CrewAI), function calling, MCP, and traditional ML algorithms.
Data Engineering: Strong experience with data pipelines, model and metadata versioning, and database integration (SQL and NoSQL such as Elasticsearch, MongoDB, Cassandra).
Cloud Platforms: Hands-on experience with AWS or Azure for deploying and scaling AI solutions.
Software Engineering: Practical knowledge of Git workflows, CI/CD, Docker, Kubernetes, and agile methodologies.
Architecture: Ability to design, document, test, and integrate AI/ML components within service-oriented enterprise architectures.
Desirable
Knowledge of ethical and legal aspects of AI systems in enterprise or public sector environments.
Languages
Fluency in English is required (all documentation is in English).
Tools \& Methodologies
MS Teams, IntelliJ, JIRA, Enterprise Architect
Agile, PM2@EC
Domain-Driven Architecture
Test-Driven Development
Continuous Integration
Seniority Level
This is a Level 6 profile .
Not required to be very senior.
A score of 22 points is expected for Level 6, but lower levels (0–6) may also be considered.
Additional Information
Application deadline for Sword: Friday . Early submission is preferred to allow time for review.
Onsite requirement: 3 days/week in the office .