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Build and maintain AI-powered document parsing pipelines, OCR/VLM models, and RAG systems to extract and structure data from diverse documents for GenAI applications.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Design and build scalable AI platforms for healthcare applications, focusing on LLM-based systems, RAG, and multi-agent orchestration while ensuring compliance with HIPAA and clinical workflows.
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
Lead the fine-tuning and optimization of domain-specific AI models, designing strategies and deploying production-grade LLMs using frameworks like LoRA and HuggingFace.
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 optimize LLM-powered AI assistants for a bank’s internal support systems using Python, RAG, and vector databases.
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
Build and scale ML systems for search, recommendations, and LLM-powered assistants that help teachers plan lessons and personalize learning in K–12 education.
Build and deploy AI systems that turn satellite imagery into actionable insights using computer vision and agentic LLM workflows, with a focus on geospatial data pipelines and model evaluation.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Senior engineer building and scaling AI agent infrastructure for an ad-tech platform, focusing on LLM tooling, multi-tenant APIs, and durable workflows to power enterprise media measurement.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and deploy GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python-based backend services for enterprise clients.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training…
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