Senior GenAI Engineer

EPAM Systems; South Africa; Remote; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation.

The role emphasizes multi-agent workflows, LLM-powered experiences, integration with Amazon Connect, and production-grade architectures using AWS serverless services. Strong Python, API development, and collaboration with stakeholders are essential.

Qualifications

• 3+ years of AI/ML engineering experience.
• Hands-on with Amazon Bedrock for generative AI apps.
• Experience building agentic and multi-agent workflows.
• Strong Python development and API skills.

Responsibilities

• Design multi-agent workflows on Bedrock AgentCore.
• Develop agentic AI solutions with tool use and orchestration.
• Build RAG pipelines and knowledge bases for accurate outputs.
• Integrate with Amazon Connect to enhance contact center automation.
• Deploy with AWS serverless services and optimize for cost and latency.

Skills

Python

LLM integration

Agentic AI

Prompt engineering

Multi-agent workflows

AWS serverless

API development

English proficiency

Education

Bachelor's degree in CS or related

Tools

Bedrock AgentCore

Amazon Connect

Lambda

Step Functions

API Gateway

Job description

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.ResponsibilitiesDesign and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processesBuild agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behaviorDevelop prompt engineering strategies and context assembly techniques optimized for production-grade workloadsIntegrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automationImplement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilitiesBuild RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date informationDesign and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactionsImplement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deploymentDeploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway, to build scalable and cost-efficient architecturesBuild evaluation pipelines to continuously assess model and prompt quality and ensure production readinessInstrument observability tooling and optimize solutions for cost and latency in production environmentsCollaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycleRequirementsA minimum of 3 years of relevant experience in AI/ML engineering rolesHands-on experience with Amazon Bedrock for building and deploying generative AI applicationsProven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered featuresExperience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agentsStrong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API developmentSolid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutionsExcellent English communication skills (B2 level or higher)Nice to haveExperience with Amazon Connect integration for building and enhancing contact center automation and customer service workflowsFamiliarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutionsKnowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environmentsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.