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As a Senior DevOps Engineer, you will be responsible for: Design, implement, and manage scalable, secure, and highly available cloud infrastructure for GenAI-based platforms (Azure-focused). Develop, maintain, and…
Зарплата: 1500–2000 USD (до вычета налогов) Responsibilities: — Design, build, and improve production NLP/LLM systems, including RAG, search, AI agents, document intelligence, and multilingual NLP. — Build retrieval…
Als AI Engineer:in entwickeln Sie gemeinsam mit Business-, AI-, Data- und IT-Teams konkrete KI-Lösungen für Drees & Sommer – von der ersten technischen Bewertung über Prototyping bis hin zur produktiven Nutzung.…
The Senior Backend AI Engineer will design and maintain backend services, APIs, and AI systems for the Lighthouse platform. The role involves hands-on development, including enterprise data management and workflow orchestration, with occasional contributions to frontend tasks.
Build and deploy customer-facing AI features for a fintech spend-management platform, focusing on RAG systems, agentic workflows, and production-safe LLM integrations.
Build and ship production-grade GenAI services like RAG and agentic systems, integrating LLMs via APIs and frameworks such as LangChain, and ensuring reliability and safety in real products.
The AI Engineer will develop and maintain ML and AI solutions on the Databricks and Foundry platform, providing technical support and guidance to internal teams. The role focuses on ensuring platform scalability, security, and compliance while optimizing performance for asset management use cases.
Hands-on AI Engineer designing and building production-grade agentic AI workflows, computer vision pipelines, and multimodal systems using LLMs, OpenCV, PyTorch, and cloud platforms at Crewlogix in Lahore.
Builds and integrates production-grade AI features like LLM-powered agents and RAG systems into a global enterprise video platform, using Python and cloud-native tools.
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.
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