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Builds and optimizes generative AI models and agentic workflows using fine-tuning, RAG, and hybrid architectures for low-latency applications.
Build and deploy generative AI systems (LLMs, RAG, agentic workflows) for defense operations, integrating Azure OpenAI, LangChain, and vector databases to support U.S. COCOM missions.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like…
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
Build and deploy generative AI models to detect healthcare payment integrity issues, reduce costs, and improve outcomes using LLMs, vector DBs, and cloud ML platforms.
Build and deploy enterprise-grade AI agents using LangChain/CrewAI for client solutions, integrating LLMs, APIs, and cloud platforms while supporting pre-sales demos and solutioning.
Designs end-to-end agentic AI platforms, integrating LLMs, RAG pipelines, and enterprise systems with security and governance guardrails.
Наша команда занимается внедрением AI в процессы Банка в кооперации с коллегами из Казначейства. В процессе работы мы реализуем весь жизненный цикл агента - от сбора требований до внедрения решения в бизнес-процессы.…
Senior Manager leading GenAI architecture and data solutions at PwC India, designing scalable AI systems and coaching teams to extract insights from large datasets.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Builds and maintains cloud (AWS) and on-prem infrastructure, including Kubernetes clusters, CI/CD pipelines, observability, networking, and automation to ensure AI safety platform reliability, security, and scalability.
Engineer AI/LLM inference on GPU clusters: benchmark, tune, and optimize model serving with vLLM, Triton, or TensorRT-LLM to hit latency, throughput, and memory targets.
Senior Data Scientist builds AI/ML models and analytics on AWS/Azure to deliver insights for aerospace and defense programs, using Python, SQL, and MLOps practices.
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Builds and evolves RackAI, a cloud-native AI platform, using Go and Kubernetes to design scalable backend services, operators, and AI-driven tooling while shaping an AI-first engineering culture.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
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