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Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data via APIs and microservices using Python, Kubernetes, and open standards like STAC/OGC.
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based infrastructure.
Build and maintain AI-ready data pipelines and platforms for a global real-estate operator, integrating property, financial, and IoT data to power analytics and LLM tools across the business.
Builds and optimizes multi-agent AI systems, RAG pipelines, and LLM integrations, focusing on production-grade prompt engineering, evaluation, and deployment.
Build and maintain the internal AI platform that powers AI features across MeridianLink’s products, including model serving, RAG infrastructure, prompt management, and evaluation pipelines.
Проект: «Ликвидность и обязательства» — это ключевая платформа для миллионов корпоративных клиентов Сбера, которая управляет расчётами по счетам, картотекой и взысканием. Что мы делаем: * обеспечиваем расчёт доступного…
Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
Build and deploy AI agents using LLMs, orchestration frameworks, and RAG pipelines to automate multi-step tasks for Morgan Stanley’s financial services platform.
Build and integrate AI features (LLMs, agents, RAG) into existing products to automate data extraction, QA/QC, and infrastructure asset recognition for civil/transportation use cases.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, focusing on knowledge graphs, vector databases, and data pipelines using Python/Java, SPARQL, and REST APIs.
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, including knowledge graphs, vector stores, and APIs using Python/Java, SPARQL, and cloud services.
Build and maintain data pipelines in Snowflake that feed AI and GenAI tools, unifying travel-industry data from portfolio companies and SaaS platforms for analytics and AI-driven insights.
Build and ship full-stack web apps using React, Node.js/NestJS, and Python, while integrating AI tooling and LLM agents into products and workflows.
Build and scale secure AWS infrastructure (EKS, Lambda, Terraform) for AI/ML workloads, automate CI/CD with GitLab, and run a centralized observability stack (Prometheus/Grafana) to support production LLM inference and vector databases.
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