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About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we…
About Odin Odin is building the investment infrastructure for the future of private markets. We believe capital is one of the most powerful tools for shaping the world - and more people should be putting it to work.…
JustMarkets is a global fintech company delivering high-tech trading and investment solutions to millions of clients across 160+ countries since 2012. We are hiring an AI Automation Specialist to build scalable,…
Build and maintain Android apps for global clients using Kotlin and Jetpack Compose, collaborating with cross-functional teams to deliver high-quality mobile experiences.
We are looking for an experienced AI Engineer to join our team and work on enterprise AI solutions involving Generative AI, LLMs, NLP, RAG, and Microsoft Azure . What you’ll be working with: • Python & SQL • Azure…
Pattern (Nasdaq: PTRN) is a leader in accelerating brands on global ecommerce marketplaces, leveraging proprietary technology and AI. Utilizing more than 91 trillion data points, Pattern optimizes and automates all…
Build and deploy ML pipelines for document intelligence using AWS, focusing on GenAI, RAG, and multi-modal models to extract data from large PDFs for mobility clients.
THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and…
This role involves building and scaling Watcher, a security product for coding agents, using Python and TypeScript. You will own features across the full stack, from ingestion pipelines and backend systems to frontend monitoring dashboards, while working in a fast-paced startup environment.
The AI Architect will design and deliver enterprise-grade Generative and Agentic AI solutions on the Microsoft Azure platform for a government project. The role involves architecting RAG systems, managing AI agents, and ensuring secure, scalable production deployments.
Engineer and optimize prompts for Sberbank’s GigaChat LLM suite, integrating models via API and testing for quality and hallucination reduction.
This role involves leading data analytics and AI initiatives, specifically focusing on developing and improving NLP and generative AI solutions within a legal technology environment. The position requires extensive experience with the Azure AI ecosystem, Python, and machine learning to build scalable, cloud-based applications.
Design and deploy Azure-based AI solutions, lead development teams, and support enterprise architecture using Azure AI services like OpenAI, Databricks, and Copilot Studio.
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
The QA Lead will define and execute quality strategies for a cloud analytics platform, focusing on both traditional software and AI-powered, agentic systems. The role involves leading automation efforts, establishing testing methodologies, and ensuring reliability across CI/CD pipelines using Python, TypeScript, and various AI frameworks.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based…
Generalist software engineer building and shipping production software across web, desktop, mobile, backend, cloud infrastructure, and AI systems, using TypeScript, Python, and Rust in a small, collaborative team.
Build and extend Kaluza’s energy-intelligence platform using TypeScript and AWS Serverless, integrating AI features and collaborating with cross-functional teams to deliver scalable, real-time energy solutions.
Leads enterprise Data & AI architecture and client engagements, designing scalable cloud-based solutions and integrating AI tools to improve engineering workflows and business outcomes.
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