We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.
Responsibilities
- Build and deploy scalable AI/ML models and GenAI solutions in production
- Design and maintain robust ETL pipelines and data workflows
- Develop LLM-based applications using modern frameworks
- Implement prompt engineering techniques for optimized AI outputs
- Deploy models via APIs and integrate with enterprise applications
- Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
- Collaborate with cross-functional teams to deliver business-driven AI solutions
Requirements
- 5-8 years of general IT experience
- 5+ years of experience in AI Engineering
- Strong programming skills in Python
- Hands-on experience with ETL and data pipelines
- Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience in prompt engineering and working with LLMs
- Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
- Cloud experience working with Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
- Strong experience in API development and model deployment
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Experience with RAG architectures and vector databases
- Knowledge of real-time or streaming data pipelines
- Exposure to scalable system design and microservices architecture
- Familiarity with Databricks and PySpark
- Experience with cloud data solutions and ETL pipelines
Benefits
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)