Note: The job is a remote job and is open to candidates in USA. EPAM Systems is a global technology services company delivering innovative software and digital solutions to industry leaders. The Senior Generative AI Engineer will design, develop, and deploy AI-powered solutions for incentive management and controlling processes, including intelligent agents for financial data analysis, business-rule validation, anomaly detection, and optimization. The role also involves mentoring colleagues, collaborating with stakeholders and engineering teams, and implementing cloud-based MLOps, CI/CD, backend, and microservices solutions.
Responsibilities
- Design and deploy AI-powered solutions that automate and optimize incentive management or controlling processes
- Build intelligent agents to analyze financial and operational data and validate business rules
- Identify anomalies and optimization opportunities within financial and operational datasets
- Support planning, forecasting, and decision-making through automated workflows and actionable insights
- Mentor junior colleagues and collaborate with cross-domain teams, including platform and data engineering
- Communicate with stakeholders to align AI solutions with business needs
- Implement CI/CD and MLOps pipelines in cloud environments
- Develop backend services and microservices to support AI model deployment
- Apply Agile and SAFe methodologies within collaborative engineering practices
Skills
- Experience with multi-agent or generative AI frameworks such as LangChain and CrewAI
- Background in NLP foundations, including model training and deployment
- Experience with backend frameworks such as FastAPI, Flask, or Django, and microservice architectures
- Familiarity with containerization and orchestration tools such as Docker, Kubernetes, and GitHub Actions, along with MLflow
- Experience implementing CI/CD and MLOps pipelines in cloud environments such as Azure ML, Databricks, or AWS
- Hands-on experience with data ETL, APIs, and model deployment workflows
- Knowledge of distributed systems and data platforms for big data
- Understanding of Agile and SAFe methodologies and collaborative engineering practices
- Fluent English and a proactive, problem-solving mindset
- Knowledge of ML/AI methodology and AI architectures
- Background in Data Science
- Familiarity with SAP AI Core and SAP BTP
- Experience with agile frameworks such as Scrum and SAFe, and project management tools such as Jira
- 5+ years of experience in AI/ML engineering, with advanced coding skills in Python (preferred) or Java, and a solid understanding of software engineering principles
Benefits
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
- Discounts in local language schools, including online courses for the Kazakh language
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Medical & family care package
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Benefits package (sports activities, a variety of stores and services)
- Housing support program: preferential mortgage access via Otbasy Bank partnership
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