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As an AI Engineer at Saegus, you will design, develop, and deploy generative AI and machine learning solutions, focusing on RAG systems and MLOps to move prototypes into production. You will work closely with business and data teams to implement high-impact AI applications.
The AI Adoption & Change Manager develops and implements frameworks to drive the adoption of enterprise AI, GenAI, and automation initiatives. The role focuses on organizational readiness, stakeholder engagement, training, and tracking value-realization KPIs to ensure successful business transformation.
Design, build, and manage GenAI platforms for clients using Python, frameworks like LangChain/TensorFlow/PyTorch/FastAPI, and models like GPT/Llama/Claude.
GC AI is seeking a Member of Technical Staff to lead the development of their legal AI platform. The role involves architecting systems using LLMs and working closely with leadership to build production-scale AI solutions.
Internship exploring how to transform SRE runbooks, postmortems, and documentation into structured, versioned knowledge for AI agents like HolmesGPT and MCP, using Python/Go, Kubernetes, and Git in an instrumented lab environment.
About TensorOps TensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns.…
This role involves building and maintaining a large-scale product graph for Google Commerce using Generative AI, LLMs, and machine learning infrastructure. Engineers will develop code, optimize AI models, and collaborate on system design to improve product understanding across Google's shopping surfaces.
Senior AI Engineer — AI-native SDLC Platform Shine · Product & Tech · Engineering Enablement Location: Berlin (Germany) with option for 2 remote days/week, or remote-friendly across European hubs ( Berlin /…
Designs and deploys AI-driven banking solutions using Python, LLMs, and agent workflows to automate processes and improve customer experience in a regulated financial environment.
We are hiring an AI Engineer to serve as a technical contributor across multiple customer engagements. On each engagement you will set the technical direction, make the key modeling decisions, and stay hands-on…
The Lead AI Engineer will drive Fever's AI transformation by balancing 50% stakeholder management to identify operational bottlenecks with 50% hands-on development of LLM-based agents and workflows. The role requires a hybrid leader capable of building and mentoring a high-performance team while deploying production-grade AI tools.
Датаюниверс – аккредитованная ИТ компания , надежный партнер на цифровом поле фармацевтической отрасли России. Мы предоставляем уникальный российский сервис консалтинга, разработки, внедрения и поддержки комплексных…
En Inetum buscamos incorporar un/a Prompt Engineer Senior para participar en un proyecto estratégico de Inteligencia Artificial Generativa. La persona seleccionada trabajará junto a equipos funcionales y de negocio…
The Senior Product Manager will define and drive the safety and quality strategy for YouTube's conversational GenAI products (Ask Search, Ask Watch) on sensitive topics, ensuring accurate, helpful, and safe responses by developing evaluation frameworks and safety guardrails. Core technologies include GenAI, LLMs, and machine learning.
Senior Software Engineer on Cisco's IQ team in Austin, owning high-visibility production-ready software, collaborating across product, architecture, and engineering, and mentoring junior engineers.
Build scalable backend services and integrate AI capabilities (LLM orchestration, RAG, fine-tuning) into newsroom platforms using Node.js, TypeScript, LangChain, and cloud infrastructure.
Наша команда отвечает за весь жизненный цикл ML моделей: от сбора данных, EDA до разработки моделей, внедрения в прод и последующего развития. Сейчас развиваем новое направление, связанное с внедрением LLM –…
Build and deploy AI models (LLM, RAG, multimodal) to automate commerce tasks like seller evaluation and product search at Toss’s ecommerce unit.
Build, train, and evaluate in-house large language models to replace costly commercial LLMs for Toss’s services, focusing on Korean language and domain-specific capabilities.
Leads end-to-end planning, experimentation, and delivery of AI/ML-powered features for a Korean neobank, collaborating with data scientists and engineers to drive user and business impact.
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