Top Remote AI Engineer Jobs

Design and maintain backend services, develop microservices, implement asynchronous processing, and collaborate on system scalability for AI-assisted applications.

The Senior Full Stack Engineer is responsible for developing backend services with Node.js and mobile applications using React and Capacitor, emphasizing code quality and architectural principles in a collaborative environment.

The AI Go-to-Market Engineer will deploy, train, and optimize AI systems across Flosum's revenue operations to enhance productivity, automate processes, and drive efficiency while working directly with the CEO.

Embed with product/tech cohorts to build plugins, skills, hooks, and connectors; integrate tools via MCP Gateway and AWS; productize reusable patterns to the plugin marketplace; mentor engineers, measure adoption, and support on-call for published artifacts.

Design, build, and maintain scalable, secure AI core platform and web/data pipelines. Drive observability, auth/network integrations, runtime scalability, AI/ML infra for LLMs, mentor engineers, partner across teams, and ensure PHI security and compliance.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Embed with product/tech cohorts to build and ship Claude Code plugins, skills, hooks, and MCP integrations; generalize work into reusable platform artifacts; integrate services via the MCP Gateway and AWS; support adoption, documentation, and on-call for marketplace artifacts while partnering on security, auth, and observability.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

The Senior Solutions Engineer will design and implement infrastructure for AI and HPC workloads, engage with customers, and lead technical discovery and architecture design.

Lead the development of AI products, design scalable systems, advance AI foundations, collaborate with stakeholders, ensure quality practices, and mentor engineers.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

As a Senior Backend Engineer in Conversational AI, you will design and implement intelligent systems, lead technical projects, mentor teammates, and ensure the quality of your team's code while collaborating with cross-functional partners.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

Build and productionize internal AI-powered tools and data systems. Implement and maintain infrastructure, data pipelines, deployments, monitoring, and access controls. Integrate third-party AI services, ensure data quality, document systems, and collaborate with stakeholders to deliver maintainable solutions.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.

Build and ship production agents and reusable skills on a petabyte-scale observability platform. Own end-to-end agent stack (context engineering, tooling, MCP servers, SDKs, integrations), improve agent observability, evaluate models, and optimize for latency, cost, and reliability while collaborating openly with OSS contributors and customers.

Responsible for designing, building, and operating AI-powered features, scalable APIs, and maintaining integrations within ClickHouse's AI/ML ecosystem.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

As a Senior AI Software Engineer, you will design and maintain AI systems, improve operational efficiency, and mentor engineers while building scalable applications for loan origination and servicing.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

Lead AI adoption across Yahoo Mail by evaluating and operationalizing LLMs and coding agents, building integration frameworks, running proofs-of-concept, tracking adoption KPIs, training teams, and optimizing performance, reliability, and cost of AI tool deployments.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

Lead integration of AI/ML into a cloud-native human-performance platform: architect generative AI and RAG workflows, build serverless backends and microservices, optimize data pipelines (SQL/NoSQL, embeddings), maintain CI/CD, modernize legacy PHP backends, mentor engineers, and drive architecture and deployment of LLM-based features.