Senior GenAI Engineer

EPAM Systems; Colombia; On-site; COP 288,610,000 - 384,813,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off & sick leave

Upskilling & certification courses

Global career opportunities

Job summary

EPAM Systems is seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation initiative. You will implement multi-agent workflows, develop LLM-powered conversational experiences, and integrate with Amazon Connect.

The role requires 3+ years in AI/ML engineering, hands-on Bedrock experience, Python proficiency, and strong English communication.

Qualifications

• 3+ years of AI/ML engineering experience.
• Hands-on experience with Amazon Bedrock for building generative AI apps.
• Proven GenAI/LLM application development, including prompts and model integration.
• Experience building agentic and multi-agent workflows for autonomous task execution.
• Strong Python skills for ML/AI applications and API development.
• Solid understanding of AWS serverless architecture (Lambda, Step Functions, API Gateway).
• Excellent English communication (B2+).

Responsibilities

• Design and implement multi-agent workflows on Amazon Bedrock AgentCore.
• Build agentic AI solutions with tool use, memory management, and orchestration.
• Develop prompt engineering strategies for production workloads.
• Integrate agentic AI with Amazon Connect contact center flows.
• Implement LLM-powered applications with Bedrock foundation models.
• Build RAG pipelines and knowledge base integrations.
• Design conversational AI experiences for customer-facing channels.
• Implement guardrails and compliance measures for secure AI deployment.
• Deploy solutions using AWS serverless services (Lambda, Step Functions, API Gateway).
• Build evaluation pipelines for model and prompt quality.
• Instrument observability tooling and optimize for cost and latency.
• Collaborate with stakeholders to gather requirements and iterate.

Skills

Python

LLM/Generative AI

Multi-agent workflows

Prompt engineering

English communication

Tools

Amazon Bedrock

Amazon Connect

AWS Lambda

Step Functions

API Gateway

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation initiative. The consultant will implement multi-agent workflows, develop LLM-powered conversational experiences, and integrate with Amazon Connect.

Responsibilities

• Design and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processes
• Build agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behavior
• Develop prompt engineering strategies and context assembly techniques optimized for production-grade workloads
• Integrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automation
• Implement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilities
• Build RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date information
• Design and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactions
• Implement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deployment
• Deploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway, to build scalable and cost-efficient architectures
• Build evaluation pipelines to continuously assess model and prompt quality and ensure production readiness
• Instrument observability tooling and optimize solutions for cost and latency in production environments
• Collaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycle

Requirements

• A minimum of 3 years of relevant experience in AI/ML engineering roles
• Hands-on experience with Amazon Bedrock for building and deploying generative AI applications
• Proven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered features
• Experience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agents
• Strong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API development
• Solid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutions
• Excellent English communication skills (B2 level or higher)

Nice to have

• Experience with Amazon Connect integration for building and enhancing contact center automation and customer service workflows
• Familiarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutions
• Knowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environments

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.