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Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
Leads AI-driven development of insurance products by designing agentic AI systems, optimizing LLM inference, and delivering full-stack features.
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
Hands-on AI Architect designing and deploying production-grade Generative AI systems (LLMs, RAG pipelines, chatbots) on AWS for enterprise clients, working onsite 3 days/week in Raleigh.
Develops and deploys generative AI and deep learning solutions for Citi’s Treasury & Trade Services, extracting insights from unstructured data (emails, call transcripts) to drive client experience and revenue growth. Core focus: end-to-end AI product delivery, LLM fine-tuning, RAG systems, and MLOps for production-grade GenAI.
Lead the development of Generative AI-powered tools and foundational model training for design and creative production tasks at Amazon's eShop. Architect and build production-grade GenAI tools, APIs, and platforms from scratch.
Backend engineer specializing in AI-driven systems; builds backend services, APIs, and AI/LLM-powered solutions for content personalization, focusing on Python, PostgreSQL, and RAG architectures.
Principal ML Engineer builds and optimizes LLM-based models, fine-tuning pipelines, and production-grade ML services for a SaaS platform powering tech solution providers.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
Крупнейший универсальный коммерческий банк Казахстана приглашает тебя в свою команду. Мы ищем талантливых людей, готовых развиваться и расти вместе с нами. Группа Halyk – это более 17 000 сотрудников в Казахстане и…
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Leads the development and validation of deep learning models for genomic and molecular diagnostics, translating AI research into clinically validated tools for oncology and patient care.
Builds and deploys AI/ML features (LLM-powered review categorization, summarization, and semantic search) for an app review management platform, optimizing for quality, latency, and cost.
Data Scientist designing and implementing end-to-end generative AI and LLM solutions, working across the full software development lifecycle with NLP/CV, Python, and cloud platforms (Azure, AWS, GCP).
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
Наша команда занимается созданием инструментов и решений для внутренней безопасности на базе AI: разработка и развитие AI-агентов, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр -…
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