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Parakeet, an AI-powered risk & compliance platform for industrial enterprises, is hiring a full-stack engineer to ship features end-to-end: backend services in Node.js (TypeScript) and Python, PostgreSQL data modeling, event-driven queues, Cloudflare edge deployment, and React front-end components.
Senior backend developer who designs and builds resource-oriented REST APIs and resilient integrations in Java and Spring Boot, using DDD, messaging and Kubernetes, while applying generative-AI tooling (Kiro, LLM APIs, RAG) across the development lifecycle. Remote position in Brazil.
Builds secure, production-grade generative AI applications for U.S. federal programs using agentic workflows, RAG, and cloud AI services like AWS Bedrock and Azure OpenAI.
Мы строим платформу LLM‑инференса, обслуживающую как внутренние, так и продакшен-сервисы. Наша миссия — обеспечить стабильный, масштабируемый и экономичный сервинг больших языковых моделей. Мы ищем инженера, который…
Мы в hh создаем продукты и AI-ассистентов для работодателей и соискателей на базе генеративных технологий. Уже сейчас мы используем LLM-модели для генерации текстов, ведения диалогов, классификации и анализа вакансий и…
🚀 Join Visor.ai as an AI Engineer! At Visor.ai, we’re on a mission to revolutionize AI and automation for Contact Centers. By humanizing AI Agents, we help companies automate up to 85% of customer interactions,…
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Backend Engineer, AI Platform based in the United States. This is an…
Leads technical strategy and delivery for client 'lighthouse' product engagements, running rapid 3/3/3 concept-to-launch cycles with forward-deployed pods and defining AI-first engineering practice. Core stack: Python/TypeScript, LLM ecosystems (OpenAI, Anthropic, RAG, agent frameworks), AWS/GCP/Azure, Terraform, Kubernetes, and modern data platforms.
岗位背景 我们正在寻找一位兼具数据开发与AI能力的复合型人才，既能搭建稳定高效的数据底座，又能从数据中挖掘业务价值，并且能主动运用 AI 大模型能力提升数据研发与分析的效率。你将深度参与数据平台建设、指标体系搭建、业务分析与 AI 应用落地全流程。 岗位职责 1. 业务数据模型设计与开发 ● 深入理解跨境电商业务，了解业务流程和商业逻辑。与产品、运营、营销、供应链、财务等团队紧密协作。 ●…
We're looking for a Senior AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You'll turn business problems into reliable multi-step agent workflows that use LLMs, tools…
As an Advanced AI Software Engineer at Honeywell, you will design, develop, deploy, and own advanced AI/ML and Generative AI capabilities that power enterprise software applications and products. You will apply deep…
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With…
Contract, remote-in-Mexico machine learning engineer building an AI-powered risk intelligence platform for a US-based client: designing, training, and deploying NLP and LLM models (text classification, NER, RAG, embeddings, semantic search) as scalable monitored services, collaborating daily with the client's US engineering team.
About the Role We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients. This role combines strong software engineering skills with a…
Founding full-stack engineer at Northscope builds a multi-agent AI orchestration layer and integrations with enterprise finance systems (SAP, Dynamics, Excel) to automate accounting and controlling workflows, while directly running technical onboarding for customers. Stack: TypeScript/React/Next.js, Python, PostgreSQL, OpenAI/Claude, Azure/Terraform.
This role is full-time, in-office at our Long Beach, CA headquarters. We're not able to offer remote or hybrid arrangements, so please only apply if you're able to work onsite full-time. What We Do CarParts.com…
Builds AI-powered features (agents, document intelligence, workflow automation) for Vega’s private markets platform, bridging research to production while defining AI strategy across products and internal workflows.
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