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This role is for a senior Python developer with 13 years of experience to build production-grade AI agents and LLM applications. The position involves working with technologies such as Google Agent SDK, Gemini, OpenAI, RAG, and vector databases in a hybrid environment.
Build scalable enterprise AI platforms leveraging LLMs, AI orchestration frameworks, cloud-native tech, and MCP as a Senior Generative AI Platform Engineer.
Job Description Job Title: AI Engineer (Remote - Any where in USA) Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In…
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities.…
Forward Deployed Engineer at Google Cloud who codes, debugs, and ships production-grade agentic AI solutions directly in customer environments using Vertex AI, Gemini models, Python, and RAG/vector-database architectures.
Мы — XPGraph, компания, создающая инновационные IT-решения для бизнеса и сотрудничающая со стартапами и крупными европейскими корпорациями. Для одного из наших проектов мы ищем AI Engineer (LLM / RAG / Agents). О…
The MLOps Engineer will build and maintain secure, scalable AWS infrastructure for a production-grade agentic AI platform. The role involves managing cloud infrastructure as code, containerizing services, and implementing monitoring and security for LLM-based customer support workflows.
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
Build and deploy GenAI-powered content understanding and AI-generated content frameworks for Google Search, leveraging LLMs and multimodal models to enhance global search experiences.
Senior AI Engineer at Handelsbanken responsible for designing, developing, and productionizing AI agents and generative AI solutions while leading technical initiatives and mentoring junior engineers.
Build production-grade GenAI applications for clients in Sofia—implementing agentic workflows with LangGraph, RAG pipelines with vector databases, and LLM API integrations using async Python and FastAPI.
Slalom is seeking an AI/ML Architect to design and deliver production-grade AI systems across AWS, Azure, and Google Cloud. You will partner with clients to shape strategy, define secure architectures, and move AI…
Designs and implements intelligent automation solutions, integrating AI agents, workflows, and cloud-based systems to streamline business processes for clients.
Senior AI Engineer (Android) role at SCALO, a software services company; the posting contains only a company overview with no specific job duties or technology details provided.
mycareernow GmbH mycareernow ist ein nach AZAV zertifizierter Bildungsträger mit klarem Fokus auf Projektmanagement und Künstliche Intelligenz. Unsere praxisnahen Weiterbildungen bereiten dich gezielt auf den nächsten…
Build and deploy machine learning models, RAG chatbots, and scalable data and model pipelines while working with large language models.
The Senior AI Engineer will experiment with new model architectures, integrate LLMs into software products, and optimize model performance and latency. The role involves deploying, versioning, and serving machine learning models within an agile team environment.
About us Behind every festival, tour, and shoot you've seen, there's a team making sure the right gear shows up, the crew knows where to be, and the schedule holds together. That's what Rentman makes…
The Applied AI Engineer will build and scale internal automation tools and production-grade RAG systems to improve operational efficiency across business units. The role focuses on maturing AI proofs-of-concept into reliable production systems using TDD, CI/CD, and infrastructure-as-code practices.
Builds and deploys AI-driven automation and RAG systems to streamline internal workflows, working closely with non-technical teams to scale production-grade solutions.
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