EPAM Systems

EPAM GenAI Consultants are changemakers who bridge strategy and technology—applying agentic intelligence, RAG, and multimodal AI to transform how enterprises operate, serve users, and make decisions. 

Preferred Tech stack 

 Programming Languages 

• Python (*) 
• TypeScript 
• Rust 
• Mojo 
• Go 

 Fine-Tuning & Optimization 

• LoRA (Low-Rank Adaptation) 
• PEFT (Parameter-Efficient Fine-Tuning) 

Foundation & Open Models 

• OpenAI (GPT series), Anthropic Claude Family, Google Gemini, Grok (*, at least one of them ) 
• Llama 
• Falcon 
• Mistral 

Inference Engines  

• VLLM 

 Prompting & Reasoning Paradigms (*) 

• CoT (Chain of Thought) 
• ToT (Tree of Thought) 
• ReAct (Reasoning + Acting) 
• DSPy 

Multimodal AI Models 

• CLIP (*) 
• BLIP2 
• Whisper 
• LLaVA 
• SAM (Segment Anything Model) 

 Retrieval-Augmented Generation (RAG) 

• RAG (core concept) (*) 
• RAGAS (RAG evaluation and scoring) (*) 
• Haystack (RAG orchestration & experimentation) 
• LangChain Evaluation (LCEL Eval) 

Agentic Frameworks 

• CrewAI  (*) 
• AutoGen, AutoGPT, LangGraph, Semantic Kernel, LangChain (* at least  2 of them) 
• Prompt Tools:  PromptLayer, PromptFlow (Azure),  Guidance by Microsoft (* at least one of them) 

Evaluation & Observability 

• RAGAS – Quality metrics for RAG (faithfulness, context precision, etc.) (*) 
• TruLens – LLM eval with attribution and trace inspection (*) 
• EvalGAI – GenAI evaluation testbench 
• Giskard – Bias and robustness testing for NLP 
• Helicone – Real-time tracing and logging for LLM apps 
• HumanEval – Code generation correctness testing 
• OpenRAI – Evaluation agent orchestration 
• PromptBench – Prompt engineering comparison 
• Phoenix by Arize AI – Multimodal and LLM observability 
• Zeno – Human-in-the-loop LLM evaluation platform 
• LangSmith – LangChain observability and evaluation 
• WhyLabs – Data drift and model behavior monitoring 

Explainability & Interpretability (understanding) 

• SHAP 
• LIME 

Orchestration & Experimentation (*) 

• MLflow 
• Airflow 
• Weights & Biases (W&B) 
• LangSmith 

 Infrastructure & Deployment 

• Kubernetes 
• Amazon SageMaker 
• Microsoft Azure AI 
• Goggle Vertex AI  
• Docker 
• Ray Serve (for distributed model serving) 

Responsibilities 

• Lead GenAI discovery workshops with clients
• Design Retrieval-Augmented Generation (RAG) systems and agentic workflows
• Deliver PoCs and MVPs using LangChain, LangGraph, CrewAI , Semantic Kernel,  DSPy, RAGAS 
• Ensure Responsible AI principles in deployments (bias, fairness, explainability) 
• Support RFPs, technical demos, and GenAI architecture narratives 
• Reuse of accelerators/templates for faster delivery 
• Governance & compliance setup for enterprise-scale AI 
• Use of evaluation frameworks to close feedback loops 

Requirements 

• Consulting: Experience in exploring the business problem and converting it to applied AI technical solutions; expertise in pre-sales, solution definition activities 
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)   
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership 
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to clients in a leadership position. Experience in managing and growing a team to scale up Data Science, AI, and ML capabilities is a big plus. 
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ 
• Experience with LLMOps or GenAIOps tooling (e.g., guardrails, tracing, prompt tuning workflows) 
• Understanding of the importance of AI products evaluation is a must 
• Knowledge of cloud GenAI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI) 
• Understanding of data privacy, compliance, and Governance in GenAI (GDPR, HIPAA, SOC2, RAI, etc.) 
• In-depth understanding of a specific industry or a broad range of industries. 

Technologies

• Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar

Responsibilities

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps 
• Work with clients to deliver AI Products which provide value to end-users 
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings 
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning 
• Work closely with DevOps practice on infrastructure and release planning 

Requirements

• Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities  
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)  
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ

Nice to have

• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)

We offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

Responsibilities

• Collaborate with customers and stakeholders to define and design efficient data schema and pipelines
• Perform ETL implementation, including transformations and data insertion into tables for analytics purposes
• Provide expertise in data warehousing and analytics to ensure optimized data structures
• Work on both the architectural design and actual system building
• Contribute to the development and implementation of data strategies and solutions
• Ensure the reliability and efficiency of data solutions for analytical purposes

Requirements

• Minimum of 10 years of practical hands-on experience in software development
• At least 2 years of experience as a Data Software Architect
• Expertise in SQL and Snowflake
• Proven experience in designing star or snowflake schemas for data warehousing and analytics
• Proficiency in data modeling and experience in cleaning, transforming, and preparing data for analysis
• Strong analytical and problem-solving abilities
• Excellent communication and interpersonal skills
• Fluent in English with a B2 level or higher

Nice to have

• Previous experience with a BI tool, especially Domo, is advantageous
• Familiarity with MongoDB is a valuable addition

We are currently seeking a Solution Architect who specializes in data-driven projects to become a part of our Data Practice team in Ukraine.

Responsibilities

• Architect data analytics solutions by leveraging the big data technology stack
• Develop and present detailed technical solution architecture documents
• Collaborate with business stakeholders to define solution requirements and explore case studies/scenarios for future solutions
• Perform solution architecture reviews/audits, compute and present ROI
• Manage the implementation of solutions from setting project requirements and objectives to the solution “go-live”
• Engage in the entire spectrum of pre-sale activities, including direct communication with customers, RFP processing, crafting implementation proposals, and solution architecture presentations to clients, as well as participation in technical discussions with client representatives
• Construct and adhere to a personal education plan in technology stack and solution architecture
• Develop a robust understanding of industry trends and best practices
• Participate in the acquisition of new clients to expand EPAM’s business in the big data sector

Requirements

• Minimum of 7 years' experience required
• Proficiency in hands-on roles as a Big Data Architect with a strong design/development background in Java, Scala, or Python
• Background in delivering data analytics projects and architecture guidelines
• Skills in big data solutions, both on-premises and on cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud
• Production project experience with at least one big data technology is essential
• Batch processing expertise: Hadoop, MapReduce/Spark/Hive
• Understanding of NoSQL databases: Cassandra, HBase, Accumulo, Kudu
• Familiarity with Agile development methodology, particularly Scrum
• Competency in client communication and pre-sales business-consulting to large enterprise environments
• Experience within a consulting firm and pre-sales backgrounds are highly desirable
• Upper-Intermediate level in English, both spoken and written (B2+)

Responsibilities

• Lead the design and implementation of enterprise solutions using Microsoft Dynamics 365 CRM, Power Platform, and Azure.
• Architect integrations with Azure and other cloud services, adhering to the company’s architecture.
• Collaborate with cross-functional teams using agile methodologies to deliver high-quality software solutions.
• Analyze complex business requirements and translate them into solution architecture design documents and technical diagrams.
• Provide strategic technical leadership and mentorship to development teams.
• Ensure solutions comply with industry standards and best practices, particularly within the Financial Services sector.
• Evaluate and recommend third-party systems and solutions to enhance system functionality and user experience.
• Contribute to long-term platform strategy, innovation initiatives, and stakeholder engagement.

• Be a part of a global EPAM solution architect community, sharing your knowledge and expertise.

   

Requirements

• Extensive experience (4+ years) as a Solution Architect, with a strong delivery record.
• Excellent communication and consultancy skills
• Diagramming and software architectures documents experience (SAD, HLL, LLD, C4, BPMN, UML, etc.)
• Deep expertise in Microsoft Dynamics 365 CRM modules, especially Sales and Customer Service, and Power Platform tools (Power Apps, Power Automate, Power BI).
• Strong proficiency in Azure services, particularly in AI, automation, and integration.
• Experience implementing CI/CD practices and DevOps tools at scale.
• Advanced understanding of agile methodology and frameworks.
• Experience in the Financial Services domain, with knowledge of regulatory and operational requirements.
• Excellent problem-solving, communication, and leadership skills.
• Ability to work effectively with stakeholders and guide teams toward successful solution delivery.

Responsibilities

• Define and oversee the translation of business requirements into actionable functional specifications
• Lead the configuration of Microsoft Dynamics CRM to align with complex client needs and business processes
• Design and implement enhancements to existing CRM configurations to maximize efficiency and scalability
• Collaborate closely with technical teams to ensure seamless integration and successful solution deployment
• Act as the primary liaison with clients, gathering feedback and ensuring expectations are consistently met
• Deliver advanced training sessions for end-users and stakeholders on CRM functionalities and solutions
• Perform comprehensive impact analyses to assess process changes and recommend improvements
• Facilitate strategic communication between stakeholders and technical teams to align business goals
• Oversee and drive CRM-related projects from initiation to successful completion, adhering to timelines and budgets
• Define and execute testing strategies to validate system functionality and ensure quality assurance
• Champion the adoption of Agile methodologies across the team and refine Agile processes
• Develop and maintain comprehensive business analysis documentation, including roadmaps and workflows
• Conduct industry research to stay updated on CRM trends, emerging technologies, and innovative practices
• Provide leadership in establishing CRM best practices and standards for implementation across projects
• Mentor junior consultants and team members, fostering professional growth and technical expertise

Requirements

• 5+ years of experience as a Functional Consultant, ideally within the IT, Consulting, or Insurance industry
• 1+ years of demonstrated experience leading Agile teams or projects, including facilitating ceremonies and driving iterative improvements
• Advanced expertise in MS Dynamics 365 CRM configuration, including customization, workflow creation, and security management
• In-depth knowledge of MS Power Apps and Power Automate, with experience in application lifecycle management and complex implementations
• Strong understanding of application programming principles, QA methodologies, database systems, and enterprise system design
• Exceptional communication, presentation, and leadership skills, with the ability to influence technical and non-technical stakeholders
• Proven track record of managing customer relationships, conducting impact analysis, and resolving critical issues efficiently
• Ability to balance strategic thinking with tactical execution in ambiguous and dynamic environments
• Advanced proficiency in English (verbal and written, B2+ level)

Responsibilities:

• Lead the design and implementation of enterprise solutions using Microsoft Dynamics 365 CRM, Power Platform, and Azure.
• Architect integrations with Azure and other cloud services, adhering to the company’s architecture.
• Collaborate with cross-functional teams using agile methodologies to deliver high-quality software solutions.
• Analyze complex business requirements and translate them into solution architecture design documents and technical diagrams.
• Provide strategic technical leadership and mentorship to development teams.
• Ensure solutions comply with industry standards and best practices, particularly within the Financial Services sector.
• Evaluate and recommend third-party systems and solutions to enhance system functionality and user experience.
• Contribute to long-term platform strategy, innovation initiatives, and stakeholder engagement.
• Be a part of a global EPAM solution architect community, sharing your knowledge and expertise.

Requirements:

• Extensive experience (4+ years) as a Solution Architect, with a strong delivery record.
• Excellent communication and consultancy skills
• Diagramming and software architectures documents experience (SAD, HLL, LLD, C4, BPMN, UML, etc.)
• Deep expertise in Microsoft Dynamics 365 CRM modules, especially Sales and Customer Service, and Power Platform tools (Power Apps, Power Automate, Power BI).
• Strong proficiency in Azure services, particularly in AI, automation, and integration.
• Experience implementing CI/CD practices and DevOps tools at scale.
• Advanced understanding of agile methodology and frameworks.
• Experience in the Financial Services domain, with knowledge of regulatory and operational requirements.
• Excellent problem-solving, communication, and leadership skills.
• Ability to work effectively with stakeholders and guide teams toward successful solution delivery.

The Client is a leading e-commerce platform that enables businesses to build and scale online stores effectively. 
The platform is designed to deliver flexible, scalable, and feature-rich solutions to meet modern e-commerce needs while offering seamless integrations with marketplaces, payment systems, and third-party tools.

Employee engaging to develop high-performance services in Scala as part of its technology stack. 
High-Performance Systems: Developing APIs and services that can scale to meet the needs of large customers with significant traffic.

Harnessing Scala’s functional programming model to write clean, maintainable, and efficient code.
Improving performance through MySQL optimizations, Redis caching strategies, and understanding trade-offs between SQL and NoSQL systems.
Ensuring services are resilient and scalable in cloud-based environments.

Key Responsibilities:
Build, develop, and maintain API services and microservices in Scala.
Design and implement scalable, reliable, and maintainable systems using functional programming principles.
Collaborate with cross-functional teams to deliver solutions that meet technical and business requirements.
Optimize database queries and performance using MySQL (or other SQL/NoSQL databases).
Implement and manage caching strategies using technologies like Redis to improve system performance and resilience.
Write unit and integration tests to ensure code quality and reliability.
Apply best practices in distributed system design, including patterns like caching, pagination, and observability.
Utilize modern development tools and practices such as CI/CD pipelines, containerization, and cloud compute platforms.

Must-Have Skills & Experience:
experience in backend development with using Scala in production environments.
Strong knowledge of functional programming principles and Scala ecosystem libraries (e.g., ZIO, Cats Effect, Akka).
Proficiency in asynchronous programming and concurrency patterns in Scala (Future, ExecutionContext, and thread management).
Solid understanding of database indexing, query optimization, and performance tuning (SQL and NoSQL).
Experience working with caching systems like Redis and implementing cache expiration strategies.
Hands-on experience with observability tools (e.g., logging, tracing, monitoring) and debugging distributed systems.
Familiarity with designing and building RESTful APIs and working with gRPC.
Experience with Agile development methodologies and tools (e.g., Jira, Git).

Nice-to-Have Skills:
Familiarity with Java and ease of integrating Scala with legacy systems.
Knowledge of DevOps practices, including container orchestration (Docker, Kubernetes).
Experience debugging or working with Scala 2 / Scala 3 migration challenges.
Understanding isolation levels with SQL transaction management or distributed systems.