Senior Generative AI Engineer

We are seeking a Senior Generative AI Engineer to design, develop, and deploy AI-powered solutions that automate and optimize incentive management or controlling processes. In this role, you will build intelligent agents that analyze financial and operational data, validate business rules, identify anomalies and optimization opportunities, and support planning, forecasting, and decision-making through automated workflows and actionable insights.

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

Requirements

• 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
• 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

Nice to have

• 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

We offer

We connect like-minded people:

• Delivering innovative solutions to industry leaders, making a global impact 
• 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   

We invest in your growth: 

• 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

We cover it all:

• 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

Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Remote in Kazakhstan