The engineer will contribute to the development of open-source AI SDKs, implementing new features and maintaining repositories while collaborating with engineering and product teams on major feature releases. Key tasks include driving improvements to developer experience touchpoints and actively participating in shaping technology and product decisions.
Remote AI Engineer Jobs in United States (999)
Search = AI Engineer
Remote in = United States
The role involves shipping AI-powered products and tools from inception to production, including designing, building, and deploying agent workflows, automation platforms, and LLM-integrated applications for internal operations and client ventures. Responsibilities also include architecting scalable systems, working across the full stack, and collaborating directly with venture and client teams to realize ambitious ideas.
This role serves as the AI engineering technical authority, responsible for designing the architecture and driving the implementation of systems that integrate AI into code generation, review, testing, and task automation across the engineering organization. Key projects include building an automated risk-tiered PR review pipeline, a fully automated test harness for Android POS products, and multi-agent swarms for generating tested pull requests from PRDs.
The engineer will become a key architect of the Registry platform, driving innovation across high-performance backend services, control-plane APIs, artifact pipelines, and customer-facing web applications. Responsibilities include owning critical domains like schema lifecycle, leading cross-team initiatives, designing platform primitives, and participating in operational duties.
The role involves using Ardour experience to create tool-related questions and rigorously review AI-generated responses for accuracy and relevance to real-world audio engineering and music production workflows. This feedback loop is crucial for helping the AI better understand complex audio tasks and professional production standards.
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The engineer will pioneer AI-driven solutions to enhance care navigation and PBM services, leading rapid prototyping cycles to transform concepts into production features quickly. They will also architect and implement full-stack solutions using the modern tech stack while driving technical decisions independently.
The role involves building production-ready Intelligent Automations and Agentic AI solutions for enterprise clients, focusing on maintainable, scalable, tested, and documented applications. Consultants must guide clients in making the right technical decisions for their applications.
The engineer will invent and implement sophisticated agentic workflows that utilize reasoning and tools to complete end-to-end business processes, ensuring agents are deeply grounded in enterprise knowledge using RAG and ESRE for high-accuracy task completion. This includes developing and fine-tuning LLMs, integrating them with internal and third-party tools, and overseeing the scalable infrastructure and lifecycle management of these agents.
The role involves designing and building the next generation of data infrastructure, focusing on creating low latency/high throughput, fault-tolerant batch or stream processing systems. Responsibilities also include building scalable backend services for data search and curation systems while writing high-quality Python and SQL.
The engineer will apply Generative AI and Machine Learning to solve real financial problems for users, focusing on building intelligent features and advancing ML systems at the application layer. Key duties include choosing the right AI tools for each problem and leveraging evaluation frameworks to ship features with confidence.
The engineer will bridge research and production by building AI models and agent systems that ship into real products, focusing on architecting, evaluating, and optimizing autonomous voice and digital agents handling millions of customer interactions monthly. They will build solutions for challenging edge cases like poor connectivity and low literacy, while owning problems end-to-end from discovery through production.
The role involves building and evolving core AI platform capabilities to enable the development, execution, and scaling of GenAI-powered applications across the company. This includes designing and implementing shared execution patterns, APIs, and reliable backend systems that support multi-step AI workflows and integrations.
Staff GTM Engineer (AI & Automation) | US | Remote
Grafana Labs
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Full Time
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15 Weeks Ago
Grafana Labs
The role involves building and operating next-generation AI agent and workflow systems, focusing heavily on coding to design multi-agent architectures, integrate LLM APIs, and ship automation across Marketing, RevOps, and SDR teams. A key strategic project includes aligning AI chatbot systems for unified prospect interaction routing and defining SLAs for these interactions.
The role involves building and evolving the core AI tutoring system, focusing on prompt architectures, agentic workflows, and real-time adaptive behaviors. Responsibilities also include running rigorous experimentation, designing scalable software integrations, and collaborating cross-functionally to translate pedagogical goals into technical solutions.
The Senior Applied AI Engineer will partner with the CTO to design, develop, and implement applied AI solutions, including RAG pipelines and LLM orchestration, driving the AI-first transformation across product and engineering teams. Key duties involve ensuring safe and reliable AI outputs through guardrails and monitoring, prototyping quickly, and mentoring engineers on AI best practices.
Staff AI Engineer - Grafana Ops, AI/ML | USA | Remote
Grafana Labs
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Full Time
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16 Weeks Ago
Grafana Labs
The role involves building and delivering high-performance AI solutions to help users detect, triage, and resolve incidents using observability data, alongside rapid experimentation and iteration of LLM- or agent-powered workflows. Responsibilities also include collaborating cross-functionally to shape AI-driven product features and taking full ownership of scalable and maintainable AI solutions.
As a Senior Software Engineer, you will lead the design and development of core platform capabilities for AI-driven experiences. You will collaborate with various teams to create scalable systems that support multi-step AI workflows and integrations.
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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.
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.
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 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.
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
·
17 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.
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.
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.
Ship user-facing AI features across Automattic’s product ecosystem and build and iterate rapidly on AI-powered products that directly impact millions of users. Collaborate with PMs, designers, and engineers in a fast-paced environment optimized for innovation.
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The Senior AI Engineer will transition AI capabilities from prototype to production by architecting robust systems that can autonomously execute complex workflows. This role involves collaborating with various teams to deliver high-value AI agents that address real-world business problems.
Design, build, test, and deploy robust AI agents while integrating them across production use cases. Collaborate with cross-functional teams to enhance the AI platform and ensure effective performance monitoring.
Design and build backend-heavy platform features for an AI-powered cost intelligence platform. Collaborate closely with Product to turn vision into shipped features and help shape engineering standards as the product matures.
As a Senior Backend AI Engineer, you will design, build, and operate the backend AI systems for Arbiter’s platform. You will work closely with cross-functional teams to deliver production-grade AI systems that meet customer needs.
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