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Build and own a full-stack app with Angular UI, .NET APIs, SQL Server, and automated tests, while integrating agentic AI workflows using third-party LLMs and orchestration frameworks.
Designs AI-driven web apps by integrating LLMs, vector search, and real-time data; leads cloud-native architecture and full-stack development (Python + React) for production-ready solutions.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Build and maintain AI-powered systems for competitive intelligence using LLMs, RAG, and agentic workflows to automate data collection and insights delivery across JFrog’s DevSecOps ecosystem.
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Build and deploy AI solutions to automate internal business processes using LLM models, APIs, and Python; prototype AI products and integrate them with corporate systems.
Senior NLP/LLM engineer to design and build end-to-end AI-copilot pipelines for premium client managers, including RAG, multi-agent orchestration, and LLM fine-tuning with PyTorch.
Leads a team building and operating an MLOps platform and multi-agent environment, overseeing the full ML lifecycle, AI agent integration, and scalable infrastructure for a large corporation.
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Build and deploy production-grade LLM-powered applications, including RAG systems and agent workflows, using TypeScript, Python, and cloud infrastructure.
Build agentic AI systems for pharma intelligence using Python, LangChain/LangGraph, and software engineering to process complex data and support decision-making.
Senior AI Engineer builds and integrates LLM-powered chatbots and NLP tools to deliver data-driven insights for automotive dealerships, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy LLM-powered AI agents for a cloud platform that turns renewable energy operational data into actionable insights for global monitoring and optimization.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
Designs and deploys AI solutions for banking clients, integrating agentic AI, cloud platforms, and enterprise systems like Salesforce and Azure AI Foundry.
Build AI-powered CRM demos and prototypes using LLMs, Salesforce, and full-stack engineering to solve enterprise challenges and showcase solutions to clients.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
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