Lead AI Agent Developer

We are looking for a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents, multi-agent workflows, and AI/ML solutions using Python, Azure AI Foundry, Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and Strands SDK. You will work alongside architects and data teams to take solutions from prototype to scalable, reliable production. Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent. Responsibilities Design, build, and maintain production-grade AI agents and multi-agent workflows for enterprise use casesIntegrate and operationalize AI/ML models and agent workflows into scalable production systemsImplement orchestration using Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or Strands SDKImplement RAG, grounding, and prompt optimization to improve response quality and reduce hallucinationsIntegrate agents with internal and external systems via APIs and connectorsDesign and implement error handling, fallback flows, and escalation pathsPerform testing and evaluation of agents and automation workflowsCollaborate with architects and data teams to translate requirements into deployable AI solutionsSupport deployment, CI/CD, and release management (Azure DevOps)Monitor and continuously improve agent performance, reliability, and cost efficiency Requirements Proficiency in Python development for AI/agent solutions, with solid general scripting abilityHands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDKExpertise in Azure AI Foundry for building, deploying, and operating agents at scale (hosted agents, agent service, memory, evaluation)Solid understanding of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluationSkills in API integration (REST APIs, JSON, authentication via OAuth2 / API keys)Competency in designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation pathsCapability to collaborate with architects and data engineering teams to deliver scalable, production-grade solutionsEnglish proficiency at B2 level or higher Nice to have Background in Azure AI Services and the broader Azure stack (Blob Storage, Container Services)Experience with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)Familiarity with Model Context Protocol (MCP) for tool/connector integrationKnowledge of LLMOps / MLOps: monitoring, evals, and cost/latency optimization for AI AgentsExperience with vector databases, retrieval infrastructure for RAG and DockerSkills in Microsoft Graph API integration and delivering in enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services) EPAM 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.