Senior AI Engineer – GenAI & Agentic Systems

Stack

Responsibilities

• ▹Create ML models from scratch or improve existing models
• ▹Collaborate with the engineering team, data scientists and product managers on production models
• ▹Develop an experimentation roadmap
• ▹Set up a reproducible experimentation environment and maintain experimentation pipelines
• ▹Monitor and maintain ML models in production to ensure optimal performance
• ▹Write clear and comprehensive documentation for ML models, processes and pipelines
• ▹Stay updated with the latest developments in ML and AI and propose innovative solutions

Requirements

• ▹Comfortable with standard ML algorithms and the underlying math
• ▹Strong hands-on experience with LLMs in production, RAG architecture and agentic systems
• ▹AWS Bedrock experience strongly preferred
• ▹Practical experience solving classification and regression tasks and with feature engineering
• ▹Practical experience with ML models in production
• ▹Practical experience with one or more of the following use cases: NLP, LLMs, recommendation engines
• ▹Solid software engineering skills (able to produce well-structured modules, not only notebook scripts)
• ▹Python expertise, Docker
• ▹English level: strong upper-intermediate
• ▹Excellent communication and problem-solving skills

Nice to have

• ▹Practical experience with cloud platforms (AWS stack preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda)
• ▹Practical experience with deep learning models
• ▹Experience with taxonomies or ontologies
• ▹Practical experience with machine learning pipelines that orchestrate complicated workflows
• ▹Practical experience with Spark/Dask and Great Expectations

Soft skills

What we offer

• ▹Opportunities for development and growth

About the company

Provectus builds cutting-edge technology solutions that have a positive impact on society. The company specializes in AI and ML technologies, cloud services and data engineering.