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Инженер по ИИ/AI Agent Engineer (LLM & Agentic Systems)
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Staff AI Platform Engineer, Infrastructure Services
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD systems.
Senior AI Platform Engineer, Infrastructure Services
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD tooling.
ML Инженер /ML Engineer (AI)
ML Engineer builds and deploys AI solutions (LLM agents, RAG systems) to automate business workflows, focusing on performance metrics, iterative improvements, and cross-team collaboration with backend/DevOps/prompt engineers.
Senior Backend Engineer: Machine Learning Infrastructure
Build and scale backend services for Constructor’s AI-powered e-commerce search platform, focusing on ML infrastructure, model serving, and distributed systems.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and distributed platforms using Python, PostgreSQL, Spark, Kafka, and vector databases.
Agentic AI- Senior Software Engineer
Build and deploy AI agents, copilots, and RAG systems using LangChain, LangGraph, and vector databases; integrate them with enterprise tools and cloud platforms.
ML Engineer (커뮤니티 추천)
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
Системный архитектор
Designs and builds the backend of an AI agent platform in Python, including orchestration, realtime APIs, vector search, RAG, and Kubernetes deployment.
AI Solutions Architect (AI Operations & Analytics)
Design and deploy AI systems that automate market analysis and decision-making using LLMs, RAG, and agentic workflows for a trading-focused team.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, then integrate them into enterprise systems with clean, testable code and CI/CD.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases; implement tools, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Custom Software Engineer
Builds AI-native applications by implementing LLM tooling, RAG pipelines, and vector search; integrates AI into enterprise systems with Python/TypeScript/Java, frameworks like LangChain, and vector DBs (pgvector, Pinecone).
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety. Core stack includes Python, TypeScript/Node.js, and Java with frameworks like LangChain and Spring Boot.
Custom Software Engineer
Build agentic AI applications using LLMs, RAG pipelines, and vector search; implement tools, prompts, and CI/CD while integrating enterprise APIs and data sources.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases; implement tools, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases. Develop, test, and integrate agents with enterprise APIs and cloud services.
Custom Software Engineer
Build AI-powered applications using LLMs, RAG pipelines, and vector databases. Develop agents, prompts, and integrations with clean code and CI/CD in Python, Java, or TypeScript.
Custom Software Engineer
Custom Software Engineer at Accenture in Chennai builds agentic AI applications using LLM tooling, RAG pipelines, vector search, and API integrations, with core techs including Java Full Stack, Python, TypeScript/Node.js, and vector DBs.
Custom Software Engineer
Build agentic AI applications using LLMs, RAG pipelines, and vector search, integrating enterprise APIs and data sources into production systems.