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Senior AI/LLM consultant framing and industrializing generative AI and ML solutions for ITSM/incident management processes, using LLMs, prompt engineering, Python, and API integration in a ServiceNow environment.
Senior Fullstack Developer building a generative AI platform for orchestrating agents, flows, and models using Node.js, Python, LangChain, CrewAI, React, and vector databases in a fully remote role.
Full Stack Java developer maintaining and evolving a mature tourism ERP (Java/Spring/Hibernate, GWT, MariaDB) while building applied AI features (LLM agents, prompt engineering) on-site in Marseille.
Lead a backend team building and scaling microservices in Java/Kotlin with Spring Boot to power N26’s digital banking platform and integrate AI-driven automation for back-office operations.
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
Build and deploy secure AI/ML microservices for defense/intel missions, integrating open-source and proprietary models, RAG pipelines, and vector search in multi-cloud environments.
Senior AI Architect & Consultant designing and deploying production AI infrastructure (model serving, agent gateways, chat/voice) for enterprise clients using LLMs, Agentic RAG, and frameworks like LangGraph, PydanticAI, and OpenAI Agents SDK.
Senior AI Engineer builds secure RAG/LLM systems and NLP pipelines for defense intel, integrating legacy data and ensuring DoD compliance.
Designs and builds scalable backend services for an AI-powered commercial real estate platform, integrating Java/Spring Boot, Python, and AWS with LLM-driven workflows.
СберЗдоровье — аккредитованная IT-компания , крупнейшая в России Digital Health-платформа, объединяющая различные сервисы цифровой медицины. Сервис начал свою работу в 2012 году под брендом DocDoc. Мы помогли миллионам…
Build and deploy AI agents that automate cybersecurity workflows across identity, cloud, and compliance at a major airline, using Python, agentic frameworks, and enterprise security tools.
This role involves building and maintaining an agentic AI platform, focusing on LLM workflows, orchestration, and backend services using Python and FastAPI. The developer will work on retrieval systems, containerized environments, and stateful pipelines to deliver scalable AI-driven solutions.
Builds and scales GCP-based cloud infrastructure, CI/CD pipelines, and observability systems for OrbitronAI’s AI agentic platform, collaborating closely with leadership to ensure reliability and scalability.
The Senior Data Scientist will lead and deliver generative AI and LLM projects, managing teams and architecting solutions like RAG systems and agentic AI for clients. The role involves technical leadership, client engagement, and mentoring junior staff within a consulting environment.
Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
Build and fine-tune LLM-powered systems for The Economist’s AI Lab, focusing on editorial tone, retrieval workflows, and multimodal generation (text, audio) to shape future journalism products.
Мы — XPGraph, компания, создающая инновационные IT-решения для бизнеса и сотрудничающая со стартапами и крупными европейскими корпорациями. Для одного из наших проектов мы ищем AI Engineer (LLM / RAG / Agents). О…
Senior Software Engineer at Databricks in Singapore builds and maintains open-source AI/ML platforms for training, deploying, and monitoring models and agents at scale, collaborating with the global AI community.
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
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