Senior AI Full-Stack Engineer

Epam Systems โ€” Kazakhstan ยท Posted ~2 days ago

Senior Remote Visa History โœ“

Skills

Python FastAPI asynchronous programming LLM agents prompt engineering tool calling RAG embeddings vector search React CSS concurrency Docker Kubernetes pytest vitest full-stack debugging LangGraph LangChain PydanticAI Qdrant pgvector

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Summary

An international engineering organization is seeking a senior AI engineer with strong Python and React expertise to build and scale LLM-powered applications. The role spans asynchronous APIs, agent workflows, retrieval systems, vector search, responsive interfaces, concurrency, testing, and production debugging. Candidates need at least five years of relevant experience and the ability to trace complex failures across frontend, backend, and AI layers.

Highlights

Remote flexibility with optional office access, international collaboration, opportunities to work abroad, relocation pathways, extensive learning resources, certifications, language classes, health support, and additional employee benefits.

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 โ€” from UI rendering to agent reasoning failures. Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. 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 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 online courses for the Kazakh languageWe cover it all:Participation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceBenefits package (sports activities, a variety of stores and services)Housing support program: preferential mortgage access via Otbasy Bank partnership 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.