Senior AI & Platform Integration Engineer

• 5+ years backend engineering experience writing clean, modular, asynchronous code
• Proficient in AI-agent workflow development with LLM APIs, prompt engineering, and AI-based parsing
• Hands-on experience with Kubernetes-native CI/CD tools
• Proven record of delivering rigorously tested code with unit and integration test coverage
• Ability to build secure and robust integrations between tools, microservices, and databases
• Skills in Python, Go, or Java
• Familiarity with AI frameworks like LangChain, AutoGen, LlamaIndex, or OpenAI/Enterprise LLM APIs
• Knowledge of CI/CD and GitOps tools including ArgoCD, Tekton, Jenkins, Kubernetes, Helm, and YAML
• Understanding observability tools like OpenTelemetry, Prometheus, Grafana, or ELK Stack
• Competency in testing tools such as PyTest, Go Test, or JUnit
• English proficiency at B2 level or higher

Nice to have:

• Experience developing in highly secure, air-gapped, or Sovereign Cloud environments
• Experience troubleshooting live pipeline deployments and collaborating with platform engineering teams

• Develop core AI agent modules, including Migration Agent for automatic artifact conversion and deployment metadata tagging
• Build pre-deployment validation module to perform automated config checks and dependency resolution
• Design deployment orchestration module to manage deployment sequencing logic
• Create post-deployment verification module to assist human operators during validation and rollback
• Integrate AI agents with SCS toolchain tools like Jenkins, Tekton, and ArgoCD
• Write audit logging code capturing agent decisions, linking to existing monitoring stack
• Maintain high code quality with unit, integration, and E2E testing; minimum 80% unit-test coverage
• Produce technical runbooks, onboarding manuals, and operational guides
• Support knowledge transfer to operations team

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. They empower clients to become AI-Native enterprises with over 30 years of expertise in software, product, and platform engineering.