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For one of our clients from pharma industry we are looking for AI/ML Engineers. This is a remote position. 5-7 years of software engineering, machine learning engineering, or AI engineering experience. Strong…
Design and implement LLM-based architectures (Agentic AI Factory, RAG, agent runtimes) for public-sector NLP systems at a Polish government research institute.
Location: United States. Remote. Near Legence office preferredTravel: Yes, 10% Role Summary The E&C Segment Applied AI Lead implements AI solutions for the Engineering & Consulting business — on live projects,…
The AI Engineer will design, develop, and deploy generative AI applications, agents, and RAG solutions using Python, SQL, and Microsoft Azure. The role involves integrating these AI solutions into business processes while ensuring scalability, security, and compliance with data governance standards.
AI Engineer / AI-utvecklare – Göteborg Om tjänsten För kunds räkning söker MemoPeople en erfaren AI Engineer/AI-utvecklare till ett växande företag med bas i Göteborg. Vi söker dig med en stark bakgrund inom…
Senior AI Engineer designing and deploying production-grade AI agents and GenAI workflows on Azure for enterprise customers in a consulting context, taking solutions from prototype to production with full ownership of architecture and engineering quality.
The Forward Deployed AI Engineer builds and deploys AI-powered workflows and intelligence platforms into secure, air-gapped customer environments. The role involves hands-on development using Python, LLMs, RAG, and containerization technologies to turn satellite data into mission-critical tools.
Lead the design and delivery of production-grade chatbot and agentic AI systems at Snoonu (Qatar's super app), using AWS Lex, Bedrock, Claude, and agentic frameworks to automate customer support, order verification, and logistics workflows.
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
We are looking for a remote Mid-Level AI Engineer with hands-on experience building and deploying Generative AI solutions. 📍 Remote within Europe. This is an engineering role focused on developing production-ready…
Elyos AI is seeking an Applied AI Engineer to build and scale AI voice agents for customer service. You will work across the full stack, designing LLM-based workflows and voice pipelines while collaborating directly with customers to deliver production-ready solutions.
The Associate Director of Machine Learning will lead the development of generative AI and agentic systems to transform financial analysis at Fitch Ratings. This senior individual contributor role focuses on architecting production-grade AI platforms, establishing technical standards, and mentoring engineers within the company's new Toronto-based AI innovation hub.
Design and scale enterprise AI agent systems using Python, ML, NLP, and generative AI (RAG pipelines) for regulated industries like financial services.
The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.
The AI/ML Lead Consultant will lead customer engagements on Google Cloud, designing and delivering AI, machine learning, and Generative AI solutions. The role involves technical leadership, architectural design, MLOps implementation, and mentoring teams to move projects from strategy to production.
The LLM Engineer will develop agentic systems and data pipelines using GigaChat to replace SAP-based management accounting systems. The role involves prompt engineering, RAG pipeline development, and integrating AI agents within a Java/Spring Boot environment.
The AI Software Engineer will lead AI experiments and develop Agentic AI solutions for the banking sector, taking projects from ideation to production. The role involves building LLM-based architectures, optimizing for scalability, and collaborating with cross-functional teams using Python and various cloud AI services.
Ключевые задачи: Разработка AI‑агентов и ассистентов (чат‑боты, автоматизация процессов, аналитика) Декомпозиция бизнес‑требований в сценарии работы агентов (use cases, user flows) Проектирование логики агентов (tool…
Builds and deploys AI/ML solutions for enterprise data intelligence, focusing on GenAI, LLMs, and large-scale data processing to improve data quality, enrichment, and retrieval for Demandbase’s GTM platform.
Build and deploy production-grade AI and Generative AI solutions using Python, SQL, and LLM frameworks to improve customer experience and business efficiency.
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