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We are seeking a highly skilled Senior AI Engineer to join our team.In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products. #LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions</li><li>Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models</li><li>Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations</li><li>Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>Requirements<ul><li>At least 3 years of experience in AI engineering or a related field</li><li>Strong proficiency in Python and experience with web frameworks such as FastAPI or similar</li><li>Understanding of the AI application development lifecycle, from design to deployment</li><li>Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks</li><li>Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents</li><li>Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures</li><li>Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability</li><li>Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>Proven track record in delivering ML-based solutions and AI engineering projects</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication, collaboration, and interpersonal skills</li><li>Fluent English skills (written and spoken) at a B2+ level or higher</li></ul>Nice to have<ul><li>Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms</li><li>Familiarity with emerging protocols such as MCP, A2A, ACP, and others</li><li>Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM</li><li>Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry</li><li>Experience with observability and monitoring tools and frameworks for AI systems</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Senior AI Engineer

The Platform Engineer – Digital, eCommerce Operations plays a critical role in ensuring the stability, scalability, and performance of customer-facing digital &amp; loyalty platforms that power our omnichannel experience.This includes our eCommerce sites and apps, loyalty ecosystem, digital promotions, identity and customer accounts services, and the supporting operational platforms behind them. The ideal candidate brings strong technical depth in modern distributed architectures—such as microservices, event streaming technologies, and relational databases—along with the communication skills necessary to collaborate effectively across engineering, product, and customer operations teams. This role ensures our digital and loyalty experiences remain reliable, fast, and consistent across channels, enabling seamless end-to-end shopping journeys.Key Competencies:<ul><li>Customer-First Mindset: Dedicated to delivering frictionless digital experiences</li><li>Systems Thinking: Able to visualize and troubleshoot complex multi-service interactions</li><li>Communication &amp; Collaboration: Partners effectively across engineering, product, operations, and marketing</li><li>Proactive Ownership: Anticipates issues, improves processes, and drives reliability</li><li>Adaptability: Thrives in a fast-paced omnichannel environment with evolving priorities</li></ul>READ FULL DESCRIPTIONResponsibilities<ul><li>Maintain and monitor eCommerce, loyalty, and digital operational platforms to ensure high performance, uptime, and reliability</li><li>Provide Tier 2nd support for customer-facing systems, addressing issues related to catalog, pricing and promotions, personalization, loyalty points, identity, checkout, and digital content</li><li>Collaborate with DevOps, Product Owners, and vendor partners to resolve platform incidents and prevent customer-impacting disruptions</li><li>Support the operation of complex microservice-based architectures, including API gateways, service meshes, and containerized deployments</li><li>Understand service dependencies and use observability tools to diagnose performance bottlenecks or failure patterns across the digital ecosystem</li><li>Assist with rollout, testing, and validation of new microservices, integrations, and platform enhancements</li><li>Monitor and support streaming pipelines (e.g., Kafka) used for real-time events such as cart updates, orders, promotions, personalization, and loyalty transactions</li><li>Have good understanding of relational database operations (e.g., Postgres, MySQL, SQL Server), including query optimization, data validation, and issue diagnosis</li><li>Assist with schema changes, replication monitoring, and performance tuning across production and pre-production databases</li><li>Partner with engineering teams to ensure data integrity across APIs, services, and downstream systems</li><li>Knowledge of scripting language (e.g., HTML, Java) would be considered an asset</li><li>Support and maintain system integrations across digital platforms, loyalty engines, store systems, and enterprise applications</li><li>Troubleshoot API failures, latency issues, and payload-level anomalies in REST, SOAP, GraphQL, event-driven, and batch integrations</li><li>Ensure integrations follow best practices for security, scalability, and fault tolerance</li><li>Enhance monitoring, logging, and alerting across digital and loyalty systems using APM and observability tools</li><li>Participate in on-call rotation for critical digital platforms</li><li>Contribute to root cause analysis and long-term reliability improvements</li><li>Serve as a key technical liaison between engineering, business digital operations, loyalty, marketing, and customer support teams</li><li>Communicate technical issues in a clear and actionable manner, helping stakeholders understand operational impacts and timelines</li><li>Document platform behavior, system flows, operational playbooks, and troubleshooting guides</li></ul>Requirements<ul><li>Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience</li><li>Strong technical knowledge of relational databases and proficiency with SQL</li><li>Solid understanding of microservices architecture and distributed systems</li><li>Experience with streaming platforms (Kafka)</li><li>Familiarity with API technologies (REST, GraphQL, SOAP) and integration patterns (synchronous, asynchronous, event-driven, batch)</li><li>Hands-on experience with observability &amp; monitoring (Datadog, New Relic, Splunk, Grafana, ELK, etc.)</li><li>Strong analytical and diagnostic skills with the ability to resolve complex system issues</li><li>Excellent communication skills with the ability to collaborate across technical and non-technical teams</li><li>Fluent speaking in English</li></ul>Nice to have<ul><li>Experience in eCommerce, retail, digital loyalty programs, or high-scale customer-facing platforms</li><li>Knowledge of cloud technologies (AWS, Azure) and container orchestration (Kubernetes)</li><li>Understanding of modern CI/CD pipelines and DevOps practices</li><li>Experience with digital identity systems (OAuth, SSO, identity providers, token-based authentication)</li><li>Familiarity with edge platforms (CDN, WAF, caching strategies)</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Platform Engineer – eCommerce & Digital Operations

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senior ai engineer

EPAM Global

platform engineer – ecommerce & digital operations

EPAM Global

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