Senior AI Engineer
Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.
We are looking for an experienced Senior AI Engineer to join our team and lead the development of advanced AI solutions that solve real business problems. In this role, you will work closely with data scientists, data engineers, and cloud engineers to design, build, and deploy scalable AI systems in production environments.
Responsibilities
AI Solution Development
Design and develop agentic systems, machine learning models, and AI algorithms.
Lead the implementation of scalable AI products aligned with business and user needs.
Deploy and operate AI/ML solutions in cloud environments (AWS preferred).
Ensure reliability, performance, and maintainability of AI systems in production.
Data & Model Engineering
Design and oversee scalable data pipelines across cloud and hybrid environments.
Lead data preprocessing, ingestion, and transformation activities.
Establish data quality controls and monitor data drift.
Guide model training, evaluation, tuning, and performance optimization.
Integration & Deployment
Integrate AI components into existing systems and workflows.
Manage production deployments, monitoring, versioning, and maintenance.
Collaboration & Communication
Collaborate with stakeholders to gather requirements and deliver effective AI solutions.
Maintain clear technical documentation.
Communicate complex AI concepts to both technical and non-technical audiences.
Research & Innovation
Stay up to date with emerging AI technologies and best practices.
Experiment with new approaches to improve existing and future solutions.
Requirements
Required Skills & Experience
Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
Hands-on experience building and deploying AI and ML systems.
Strong proficiency in Python.
Experience with agentic frameworks (e.g. LangChain, pydantic-ai, strands, Agent-ai).
Solid knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience in NLP, computer vision, or related AI domains.
Familiarity with cloud platforms (AWS preferred, Azure or GCP welcome).
Strong analytical and problem-solving skills.
Excellent communication skills.
Experience working in cross-functional teams.
Familiarity with Agile methodologies (Scrum, Azure DevOps).
Employment conditions:
B2B contract,
Daily support from team leaders,
Dedicated certification budget,
Assistance in defining and support in your development path,
Benefits package,
Integration trips/events.