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Full Stack Developer
Builds full-stack web apps in Python (Flask/Django) with React/TypeScript front ends, integrating LLM capabilities via RAG and processing large datasets with PostgreSQL, ArangoDB, and vector search.
Senior AI Engineer
Senior AI Engineer builds and optimizes a retrieval layer for enterprise AI agents, combining lexical, vector, and structured search across systems like Salesforce and Jira while preserving permissions and freshness.
Senior Software Engineer (MLAI services)
Senior Python engineer building AI-powered automation services, agentic workflows, and retrieval systems using LLMs and vector databases for an enterprise iPaaS platform.
Staff AI Engineer
Design and build AI-powered automation systems, agentic workflows, and retrieval services using LLMs and vector databases for an enterprise iPaaS platform.
Business Development Representative (EMEA)
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Full Stack Developer (Angular, .NET, SQL)
Build enterprise-grade web apps using Angular for the front end and .NET Core for back-end APIs and SQL databases, optimizing performance and collaborating with cross-functional teams.
AI Engineer (Managed Services)
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Python GenAI Developer
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
AI Systems Architect and Builder
Design and deploy production-ready AI systems, including LLM apps, RAG pipelines, and voice AI, for clients across healthcare, ecommerce, travel, and other sectors.
AI Engineer
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Data Scientist (LLM/RAG, project based)
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Fullstack-разработчик
Fullstack-разработчик проектирует и пишет корпоративные веб-приложения на Python/FastAPI, Node.js и React, внедряет AI/RAG-решения и интегрирует корпоративные сервисы.
ML/AI инженер
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Senior AI/ML Engineer (LLM / GenAI / NLP)
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
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.
Engenheiro de Machine Learning [Banco de Talentos]
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
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.