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Design and deploy enterprise-grade AI systems (LLMs, RAG, agents) using LangChain/Flowise, ensuring scalable, secure, and responsible outputs for Fortune 500 clients.
EPAM's new Frontier AI business unit partners directly with leading AI labs and advanced AI organizations, translating their research and post-training objectives into technically rigorous, deliverable programs…
The Strategic Account Executive, Frontier AI is a senior commercial leader responsible for building and growing relationships with leading AI labs and other organizations developing advanced foundation models. The role…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
We are seeking an experienced AI Solution Architect to be responsible for designing and implementing robust, scalable, and reliable AI solutions for TOP 500 Fortune clients. This includes generative AI systems,…
Job DescriptionPrincipal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using…
Job Description About the Role Chegg is building the next generation AI Evaluation Platform to keep improving learner experience across product and services from copilots to autonomous agents. As we scale our use of…
About Hillclimb Hillclimb's mission is to improve agent capabilities towards recursive self-improvement. To do so, we work on creating environments and evals that test and push frontier models' ability to…
Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Sciforium, an AI infrastructure startup building multimodal foundation models, is hiring a Foundation Model Data Engineer to own the end-to-end data lifecycle: petabyte-scale crawling, cleaning and deduplication pipelines, plus post-training data (SFT, RLHF/DPO) and multimodal datasets. Core stack is high-performance Python (multiprocessing/multithreading) with Spark, Ray, WebDataset, and Parquet.
Senior engineer on Turing's STEM Horizontal team building the machinery behind AI training data: backend services, data pipelines, evaluation harnesses, and sandboxed agent execution environments. Core stack is Python (FastAPI/Django), PostgreSQL, TypeScript/React/Next.js, and Terraform on AWS/GCP.
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.
1. 负责AI产品核心效果评估与精度度量:主导大模型及AI应用在业务场景下的效果评测全流程,包括构建多维度评测指标体系(如准确率、召回率、幻觉率、Rouge/BLEU及任务完成率),制定严谨的AB实验方案,并对评测数据进行深度统计与归因分析。 2. 构建对抗性评测与稳定性验证体系:设计并执行覆盖边界Case、长尾分布及恶意攻击的测试用例,系统性评估模型在复杂场景下的鲁棒性、安全性与语义稳定性,输出可量化的风险评估报告。 3.…
About the role You own the brain behind every character. You run two tracks in parallel: the LLM system that makes conversations feel consistent, personal and alive today, and our own models trained on data you source…
Above Security — Tel Aviv (5 days in office) Above is building the AI-native insider risk platform for the modern enterprise — where humans and AI agents operate together inside security-critical systems. We're…
Команда занимается разработкой NLP моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. **_Примеры:_** _• Система гардрейлов для защиты LLM-моделей и…
1. 企业级 AI Agent 工程落地指导:作为客户 AI 应用技术服务的第一责任人,深入理解客户业务场景与技术痛点,主导Agent等工程全链路落地服务:从 RAG 构建、知识库向量化、Prompt Engineering 调优,到多 Agent 协作编排、工具链集成与 Function Call调试,确保 AI Agent 在生产环境高效运行。 2.…
职位定位 负责高德商家/广告智能体、AI 外呼及 AIGC 方向的算法研发与工程落地,在 Agent 团队负责人带领下,依托全球化技术平台,与具备全球顶尖算法能力和Vision的Leader们协同合作,推动从单点 LLM 应用到 Multi-Agent 协作系统的演进。 职位要求 1. 围绕高德核心业务场景,结合大模型技术实现端到端智能化提效。负责智能体应用的开发落地,包括但不限于 LLM 应用、Prompt…
Key Result Areas Develop and implement risk-based AI/GenAI audit strategies aligned with the Bank's AI agenda and regulatory expectations. Execute audits over the AI/ML lifecycle — data sourcing, training,…
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
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