Summary
✨ AI‑Generated
Join a remote AI engineering team building and scaling intelligent applications powered by LLMs and agent-based architectures. You will develop asynchronous Python services with FastAPI, design prompts and tool-calling workflows, build RAG pipelines, tune retrieval through embeddings and vector search, and investigate failures such as hallucinations and inconsistent outputs. Strong ReactJS skills are also central to the role.
Highlights
Senior remote AI engineering role combining Python backend expertise with ReactJS, focused on LLM applications, agent architectures, RAG pipelines, retrieval optimization, and diagnosing complex AI and frontend issues.
Description
We are seeking a Senior AI Engineer with strong expertise in ReactJS and Python to join our team and help build, debug, and scale intelligent applications powered by LLMs and agent-based architectures.
The ideal candidate combines deep backend engineering skills with a sharp eye for frontend quality and thrives on tracing complex issues across the full stack — from UI rendering to agent reasoning failures.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
Design and build async endpoints, background tasks, and streaming responses using Python and FastAPIDevelop and maintain agent-based systems, including prompt design, tool-calling, and RAG pipelinesDiagnose and resolve LLM failure modes such as hallucination, context contamination, and non-deterministic outputTune retrieval quality through chunking strategies, embeddings, and vector search optimizationBuild and fix production-grade React UIs, including layout, responsive behavior, and streaming state managementIdentify and resolve concurrency issues, including shared mutable state and callback bleed under concurrent requestsOperate within Docker and Kubernetes environments, including deployment and pod/log debuggingWrite and maintain test coverage using pytest and vitest, including mocks and fixturesTrace symptoms to root causes across frontend, backend, and agent layers to ensure system reliability
Requirements
5+ years of experience with Python, FastAPI, and asynchronous programming patternsProficiency in agent frameworks such as pydantic-ai, LangGraph, or LangChain, with hands-on experience in prompt engineering and tool-callingExpertise in RAG systems, including chunking, embeddings, and vector search tools such as Qdrant or pgvectorSkills in React (hooks) and CSS, with the ability to build and troubleshoot complex, responsive UIsUnderstanding of concurrency and state management, with experience implementing request-scoped state, locks, and thread-safetyFamiliarity with Docker and Kubernetes, including container management and deployment debuggingBackground in testing practices using pytest and vitest, with consistent use of mocks and fixturesStrong debugging skills with the ability to trace issues across frontend, backend, and agent layers
Nice to have
Experience with AWS Bedrock or other model gateway platforms beyond OpenAIFamiliarity with Langfuse or other LLM observability toolingKnowledge of python-pptx or document generation tools for PowerPoint and PDF outputsBackground in regulated industries such as pharma or life sciences, including familiarity with FDA PMA/510(k) and IVDR terminologySkills in Helm chart authoring and CI/CD pipelines using GitHub ActionsDesign sensibility for building premium, non-generic user interfacesExperience integrating SSO/OAuth solutions such as Azure AD or MSALFamiliarity with vector DB operations, including Qdrant collection management and embedding pipeline maintenanceUnderstanding of prompt-eval or LLM-testing frameworks for measuring answer quality over time
We offer
We connect like-minded peopleDelivering 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 growthLeadership 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 teachersWe cover it allParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFive trust days per year (sick leave without a medical certificate)Benefits 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.
