Senior AI Engineer

EPAM Systems

Polska

Hybrid

PLN 180,000 - 280,000

Full time

48 hours ago
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Benefits offered by this job

Health insurance
Multisport
Employee stock purchase plan (15% off)
English classes
Relocation opportunities

Job summary

EPAM Systems in Poland is seeking a Senior AI Engineer to architect multi-agent workflows, build robust tool interfaces, and deploy evaluation-driven AI solutions.

You will work with LangChain, LangGraph, and OpenAI SDK, implement RAG systems, ensure secure scalable architectures, and contribute to production-grade DevOps practices.

Qualifications

  • 3+ years of relevant experience in AI Engineering or a related field
  • Proficiency in Python and the modern AI engineering stack
  • Expertise in LangChain, LangGraph, and OpenAI SDK
  • Familiarity with Hugging Face Transformers and multi-agent workflow optimization
  • Skills in asynchronous execution, state management, and concurrency
  • Background in designing and integrating with complex REST and GraphQL endpoints
  • Competency in handling structured data formats (JSON, XML) for tool calling
  • Hands-on experience with containerization using Docker
  • Knowledge of cloud platforms such as AWS, GCP, or Azure for deploying production-grade AI applications
  • Understanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for semantic search and RAG implementation
  • English proficiency at an upper-intermediate level (B2) or higher

Responsibilities

  • Architect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain to handle sophisticated queries
  • Develop and maintain reliable tool definitions for interacting with complex internal APIs, ensuring the AI can accurately parse, validate, and utilize data
  • Build and optimize Retrieval-Augmented Generation (RAG) systems to ground model responses in proprietary data
  • Ensure AI responses are structured for rich UI rendering, enabling dynamic graphs, charts, and interactive elements
  • Create rigorous testing frameworks, evaluation pipelines, and metrics to assess agent performance, reliability, and accuracy in production
  • Take validated prototypes to production readiness, addressing guardrails, security, cost, and scale
  • Debug and optimize multi-agent workflows with a focus on asynchronous execution, state management, and concurrency
  • Deploy and maintain production-grade AI applications with a strong DevOps mindset

Job description

We are seeking a skilled Senior AI Engineer to join our team and build evaluation-driven, secure, and scalable agentic systems. In this role, you will architect multi-agent workflows, engineer robust tool interfaces, and code AI-first every day. We value an 80% mindset and 20% skills approach, prioritizing evaluation-driven engineering discipline and the honesty to say what a demo hides over proficiency in any single framework.ResponsibilitiesArchitect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain to handle sophisticated queriesDevelop and maintain reliable tool definitions for interacting with complex internal APIs, ensuring the AI can accurately parse, validate, and utilize dataBuild and optimize Retrieval-Augmented Generation (RAG) systems to ground model responses in proprietary dataEnsure AI responses are structured for rich UI rendering, enabling the generation of dynamic graphs, charts, and interactive elementsCreate rigorous testing frameworks, evaluation pipelines, and metrics to assess agent performance, reliability, and accuracy in productionTake validated prototypes to production readiness, addressing guardrails, security, cost, and scaleDebug and optimize multi-agent workflows with a focus on asynchronous execution, state management, and concurrencyDeploy and maintain production-grade AI applications with a strong DevOps mindsetRequirements3+ years of relevant experience in AI Engineering or a related fieldProficiency in Python and the modern AI engineering stackExpertise in LangChain, LangGraph, and OpenAI SDKFamiliarity with Hugging Face Transformers and multi-agent workflow optimizationSkills in asynchronous execution, state management, and concurrencyBackground in designing and integrating with complex REST and GraphQL endpointsCompetency in handling structured data formats (JSON, XML) for tool callingHands-on experience with containerization using DockerKnowledge of cloud platforms such as AWS, GCP, or Azure for deploying production-grade AI applicationsUnderstanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for semantic search and RAG implementationEnglish proficiency at an Upper-Intermediate level (B2) or higherWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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