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GenAI/Agentic AI specialists
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Business Development Representative (US)
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 Engineer
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
ML Engineer
Build and deploy ML/LLM services for an e-commerce platform, including RAG, agentic workflows, and quality evaluation, using Python, FastAPI, and cloud infrastructure.
EG Senior AI Architect
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
Full Stack Engineer (Agentic AI)
Build AI-powered multi-agent systems and full-stack applications using Node.js, React, and TypeScript, integrating LLMs, vector databases, and observability tools like Langfuse for agentic workflows and dashboards.
Разработчик ИИ (backend)
Разрабатывает ИИ-агентов и backend-сервисы на Python (FastAPI) для платформы цифрового строительства, интегрируя LLM-модели и аналитику в реальном времени.
AI Solution Architect
Designs enterprise AI solutions on Microsoft’s stack, setting standards and guiding teams to build secure, scalable GenAI apps using Azure AI, Copilot Studio, and modern frameworks.
GenAI / Agentic Architect
Lead enterprise GenAI strategy, architect scalable AI systems, and advise C-suite on tech stacks, trade-offs, and ROI for large client engagements.
AI Engineer / AI-разработчик
Обязанности: Разрабатывать системы анализа здоровья: наше ключевое направление AI, который помогает пользователю понять своё состояние и вовремя дойти до врача; Внедрять AI-фичи в продукт и в компанию: интеграция LLM…
AI Engineer - Agentic & Generative AI
Build and deploy agentic AI pipelines and RAG systems using Python, LangChain/LangGraph, and LLMs like OpenAI or Anthropic; write clean, testable code for enterprise client engagements.
ESPECIALISTA SR INTELIGENCIA ARTIF E INN - DESARROLLADOR FULL STACK CON ENFOQUE EN IA
Build full-stack web apps that embed generative AI features—modern UIs, conversational agents, and LLM APIs—while shipping secure, scalable backends on Azure or Google Cloud.
AI Product Engineer (.NET + React)
Build AI-powered full-stack apps with .NET Core and React, using AI tools to analyze requirements, generate code, and deliver production features like conversational assistants and RAG systems.
AI Automation Engineer
Builds backend services and automates affiliate-marketing workflows using AI/LLMs to process traffic, integrate partners, and optimize conversions.
Backend / Infra Engineer
Build and scale the backend and infrastructure that ingests, processes, and detects anomalies in 100% of agent conversation data using TypeScript, ClickHouse, and Quickwit.
AI/ML Architect
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Senior Data Scientist
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Data Scientist Middle
Data Scientist at Uklon builds and deploys ML models to optimize ride-hailing services using Python, PyTorch, and cloud infrastructure.
AI Engineer
Builds and deploys production-grade AI/ML systems using LLMs, RAG, and vector search; integrates AI services into enterprise workflows with Python, PyTorch/TensorFlow, and REST APIs.
Backend Sênior (Python/LLMs/Agents) – Inglês Avançado – Remoto com PJ de até 23k
Builds Python-based agent systems using LangGraph/LangChain, deploys on GCP with Kubernetes, and integrates LLMs with tools like Slack, Salesforce, and Google APIs.