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Design and build server-side APIs, use AI-assisted development tools like Claude Code, and support cloud storage infrastructure using Python, TypeScript, Go, and AI frameworks.
The Applied AI Engineer will design, build, and deploy AI-powered products and intelligent agents to automate finance workflows at Moss. The role involves working with frontier language models, RAG, and orchestration frameworks to deliver production-ready, customer-facing AI solutions.
Unpaid Internship | Devoteam Creative Tech | Belgium About the Team Devoteam Creative Tech is Belgium's leading digital consultancy, specializingin cloud-native development, AI innovation, and modern software…
Design and develop data pipelines, semantic layers, and knowledge bases using AWS, Python, and graph databases to support AI-driven systems and LLM integration.
Senior consultant builds and deploys AI-powered workflows using Anthropic’s Claude, Python/JavaScript, RAG pipelines, and vector databases to automate enterprise processes for global clients.
🚀 ¿Por qué trabajar en Xepelin? Xepelin está transformando las finanzas empresariales en Latinoamérica con una suite de productos que automatizan la gestión financiera y facilitan el acceso a liquidez. Con el objetivo…
Staff Software Engineer designs and builds AI agent governance capabilities, scalable data pipelines, and identity governance features using cloud platforms and frameworks like Spark, BigQuery, and MCP.
Build and ship AI-powered conversational agents and NLP models that analyze sales calls, extract insights, and automate workflows for revenue teams using LLMs, RAG, and agentic systems.
Мы формируем ядро команды, которая создает с нуля экосистему интеллектуальных агентов для автоматизации бизнес-процессов. Нам нужен универсальный специалист, способный вести фичи от проектирования базы данных до…
Position: Senior Agentic AI Engineer (Python / TypeScript / Java) – 12 Years Headcount: 1 Type of hire: FTC Location: Columbus, OH (all 5 days onsite). JD: 12 years of software engineering experience with strong…
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and…
We are knowmad mood! Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Nacimos para provocar un cambio real a través de la innovación y el desarrollo…
What would you be doing? Designs, builds, and deploys AI solutions (LLMs and traditional machine learning models), from Proof of Concept (PoC) to production. Responsibilities: Implementing and integrating AI models…
Backend Developer designing AI agents' ecosystem, integrating APIs, optimizing performance using Python, Java, Go, and LLM frameworks.
Builds and maintains AI agent integrations with strategic partners, creates reference implementations and technical content, and drives adoption of Tavily’s search API for agentic applications.
On-site engineer in New York partners with enterprise customers to design, prototype, and deploy AI systems using Tavily’s search API, from early discovery to production rollout.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Builds and deploys AI-powered systems for Tavily’s enterprise clients, bridging technical and business needs across the customer lifecycle. Core focus: RAG pipelines, agent workflows, and API integrations.
The role We're hiring a Technical Support Engineer to provide excellent customer support for highly technical users, from AI engineers to infrastructure architects. You'll be monitoring incoming tickets,…
The Forward Deployed Engineer will work with strategic partners to design and build integrations that embed Tavily's search engine into the modern agentic AI stack. This role involves shipping code, creating reference implementations, and collaborating with external engineering teams to drive adoption of Tavily's API.
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