The role involves orchestrating technical delivery by partnering with scientific teams and ensuring the end-to-end execution of client contracts. Additionally, the engineer will architect and develop solutions to automate complex R&D workflows and integrate core technologies into client environments.
Remote AI Engineer Jobs (2,201)
Search = AI Engineer
AI Design Engineer (AI Product Prototyper) - QuintAce (Remote)
A5 Labs
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Full Time
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16 Weeks Ago
A5 Labs
Design and build interactive product experiences from concept to working demo. Prototype AI-first user experiences for poker learning and iterate based on user outcomes.
Design and implement stateful agentic workflows and develop robust integration layers for the autonomous agents. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
Design and implement stateful workflows for autonomous agents, ensuring they can plan, execute, and self-correct. Develop integration layers for the agents to interact with internal APIs and third-party tools.
Design and implement stateful agentic workflows for autonomous agents. Develop integration layers for LLM interactions with internal APIs and third-party tools.
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Design and implement stateful agentic workflows and develop robust integration layers for the LLM to interact with various tools. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
Design and implement stateful agentic workflows for autonomous agents. Build integration layers for the LLM to interact with internal APIs and third-party tools.
Design and implement stateful workflows for autonomous agents and develop integration layers for interaction with APIs and tools. Optimize inference pipelines for speed and reliability while establishing testing frameworks for model outputs.
Design and implement stateful agentic workflows and develop robust integration layers for the LLM to interact with various tools. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
Principal Full Stack Engineer, AI Platform & Agents
Wolters Kluwer
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Full Time
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16 Weeks Ago
Wolters Kluwer
The role involves designing and implementing full-stack applications, AI agents, and platform components to enable rapid GenAI agent development, validation, and deployment. Responsibilities also include building developer tooling, applying secure SDLC practices, and leading by example through hands-on architecture contribution and mentoring.
The AI Engineer will design, build, and deploy production-grade AI systems, focusing on turning real business problems into scalable AI solutions. This includes building LLM-powered systems, designing data pipelines, and integrating models.
The Forward Deployed Engineer will be responsible for deploying production-ready AI agents and providing hands-on technical implementation support. They will also act as a Technical Account Manager for assigned customers, ensuring ongoing success and value realization.
You will build and ship LLM-powered features end-to-end, from prototype to production-ready systems. Additionally, you will design retrieval and search pipelines and develop backend services and APIs.
Senior Backend Engineer - AI Agents - Climate Tech (all genders)
Global Changer
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Full Time
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16 Weeks Ago
Global Changer
As a Senior Backend Engineer, you will shape how AI is used in Corporate and Product Carbon Footprint workflows. Your focus will be on building reliable, production-grade LLM-based systems and integrating them into the backend architecture.
The Senior Software Engineer will build and evolve a Conversation Engine for generating responses across various platforms. They will also own the RAG pipeline and collaborate with cross-functional teams to define and ship new features.
Senior Full Stack Engineer, AI Platform & Agents
Wolters Kluwer
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Full Time
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16 Weeks Ago
Wolters Kluwer
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
Lead/Staff Full Stack Engineer, AI Platform & Agents
Wolters Kluwer
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Full Time
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16 Weeks Ago
Wolters Kluwer
Design and implement full-stack applications and AI agents that enable rapid development and deployment. Mentor less experienced engineers and lead by example in driving architecture and ownership of larger projects.
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Design and implement scalable AI-centric software systems while driving product innovation in the cybersecurity sector. Lead the end-to-end development of product features and mentor junior engineers.
Lead and mentor a team of engineers while driving the architecture and development of AI solutions. Oversee observability systems for the Ad Display platform and ensure high performance at scale.
The role involves integrating Large Language Models (LLMs) and other Generative AI models into web applications through efficient API design and development. Key tasks include building robust Python back-end systems, maintaining data pipelines, and deploying AI applications using containerization technologies.
The AI Engineer will specialize in developing AI-powered applications such as chatbots, RAG systems, and voice agents by transforming designs into production-ready code. This involves implementing LLM integrations, optimizing RAG pipelines, and integrating AI capabilities into existing software systems.
Test Automation Engineer – AI Network & Observability Platform
Selector Software
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Full Time
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16 Weeks Ago
Selector Software
Design, develop, and maintain automated test frameworks for network observability solutions. Collaborate with various teams to improve test coverage and enhance product quality.
The role involves building UI and backend components for chat/agent experiences, owning the process from discovery through monitoring, and orchestrating tool-using agents via MCP while designing safe tool APIs and connectors. Responsibilities also include implementing and iterating RAG/Hybrid RAG systems with quality evaluations and managing prompt/retrieval versioning.
The Senior Software Engineer will evaluate, build, and apply tools in modernization projects, facilitating their usage across different project teams. They will also work closely with Product and Engineering teams to influence the MongoDB product roadmap.
The role involves developing, configuring, deploying, and optimizing state-of-the-art AI agents using LLMs, while building seamless integrations with external enterprise systems like APIs and CRMs. This engineer will also collaborate closely with customers to gather requirements, provide technical guidance, and ensure high-impact, cost-effective AI agent deployments.
As an AI Engineer, you will work closely with architects, engineers, and cross-functional stakeholders to build AI-powered tools and maintain a robust AI infrastructure. Your role will involve rapid prototyping and iterative development of AI-based business applications.
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You will design, implement, and deploy end-to-end NLP and deep learning systems while building LLM-powered applications. You will also be responsible for developing and maintaining production Python services and scaling systems to handle high volumes of requests.
The AI Engineer will optimize model inference and build scalable AI services that support real customer workloads. This includes designing and implementing pipelines, collaborating with various teams, and contributing to the AI platform architecture.
The role involves leading the technical direction of AI agents responsible for translating natural language into production-ready applications, focusing on defining patterns for LLM interaction, context maintenance, and multi-step workflow orchestration. This includes owning the technical vision for how agents reason about and generate full-stack applications, driving initiatives that influence the broader AI strategy.
As a Senior AI Developer, you will craft exceptional multiplayer experiences by collaborating with a talented team to build robust systems and optimize performance. Your role will involve architecting and implementing multiplayer-ready gameplay systems and ensuring seamless networked gameplay.
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