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We are looking for a Middle AI/ML Engineer to develop computer vision and language-model capabilities for digital accessibility solutions. You will work on production-ready AI systems that help make websites and…
Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone Small Business. We are seeking a motivated and technically skilled AI Engineer or Solution Architect to join…
The Technical Product Owner will manage client engagements by bridging the gap between business goals and engineering execution, focusing on delivering production-grade GenAI systems. The role requires a background in software or data engineering and daily proficiency with AI tools to prototype and manage backlogs.
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
The Python AI Agent Engineer will build core infrastructure for an internal AI agent platform, including developing agents, connectors, and orchestration logic using Python and modern AI frameworks. This role focuses on integrating AI capabilities with engineering tools to support 40,000+ engineers.
About NCR VOYIX NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and…
- Collaborate with teams for AI integration - Create AI specifications for production quality and safety - Develop Java Spring AI engine - Generate AI based documentation - Implement agent multi step automations -…
The AI Engineer will build a Java-based engine using Spring to implement RAG-based documentation systems and multi-step AI agents. The role involves integrating AI solutions into end-to-end projects and managing AI model specifications.
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.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization and hardware integration. The role involves working with C++, OpenVX, OpenCL, and various AI accelerator toolchains to bridge software stacks with heterogeneous chiplet platforms.
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…
Design and scale enterprise AI agent systems using Python, ML, NLP, and generative AI (RAG pipelines) for regulated industries like financial services.
Builds and deploys LLM-powered workflows and AI-enabled applications, integrating data and developing backend services with REST APIs.
Build and deploy production-grade LLM-powered agents and agentic workflows using RAG, tool orchestration, and reasoning to solve complex business problems at scale.
Applications: candidates may apply from outside Japan. Visa sponsorship: available. Japanese: Business level. English: Business level. Japan Dev tags: Engineering, AI. About Kanaria Tech Kanaria Tech is a Tokyo-based…
This role involves designing and implementing AI-driven automation workflows, chatbots, and virtual agents using platforms like N8n, Make.com, and Zapier. Engineers will integrate LLMs and APIs to optimize business operations across various industries in a fully remote capacity.
Mid-level engineer building AI-based products, designing agentic systems, managing data, and monitoring performance using Python and cloud/container tools.
Design, build, and deploy end-to-end AI/ML solutions for client projects, collaborating with teams and stakeholders while mentoring junior engineers.
Builds backend services in Node.js/TypeScript that integrate LLMs, RAG, and AI agents for automated lead generation and recruitment outreach, using cloud infrastructure and async task queues.
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