Top Remote AI Engineer Jobs

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.

The Senior Back End Software Developer will design and develop cloud notebook applications, focusing on back-end systems while collaborating on features and implementing secure interfaces and services.

The Senior Front End Software Developer will create secure, performant, cross-platform applications, collaborate on feature implementations, and ensure code usability and testing, with a focus on design and structure.

The Senior AI-Enabled DevOps Engineer will design and manage cloud infrastructure, build CI/CD pipelines, support AI deployments, and improve reliability through automation and collaboration with software teams.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

The Internal Systems Engineer (Applied AI) builds AI tools, maintains agent platforms, and develops internal software for Customer Operations at impact.com. Responsibilities include working with business stakeholders, integrating AI in workflows, and improving operational efficiency through automation.

The role involves designing, training, and evaluating ML models, optimizing performance, and collaborating with teams to implement AI technologies in products.

The Staff Software Engineer - AI SDK will design and implement features for Temporal's AI SDK, enhance AI application development, and engage with the developer community to improve reliability and support open-source contributions.

The Senior Software Engineer will work on optimizing open-source LLM inference, enhancing performance on NVIDIA GPUs, and collaborating on production-ready solutions.

Apply machine learning to real-time graphics and interactive experiences: develop models from latest research, prototype applications, collaborate across teams, and productize neural graphics features for gaming and visualization.

Design, develop, and deploy AI/ML models and pipelines for chemical and biological threat characterization. Build data preprocessing, embedding, entity extraction, and model monitoring systems; integrate models into secure cloud environments via APIs and MCP. Create model cards, explainability tools, and support knowledge graphs. Ensure DoD cybersecurity compliance, participate in Agile teams, and assist knowledge transfer and documentation.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Technical pre-sales role designing secure, scalable Azure architectures and migrations. Lead workshops, demos, and proofs-of-concept; guide modernization (6R, containerization, AKS, Arc); design hybrid networking and enterprise integrations; collaborate with engineering and partners to remove technical blockers and meet security and compliance requirements.

Drive technical pre-sales for Cloud and AI application solutions: run demos, PoCs, hackathons, and architecture workshops; co-design secure, scalable cloud-native architectures; resolve technical blockers; maintain expertise in AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate customer adoption and production deployments.

Lead end-to-end development of AI-powered features and shared AI services, own product loop from discovery to production, design data and system architecture, create reusable tooling and guardrails, mentor engineers, and ensure secure handling of sensitive school and family data.

Develop and maintain AI networking communication frameworks, production benchmarking tools, and automation for large-scale AI training/inference. Enable models in benchmarking infrastructure, analyze end-to-end performance, perform large-scale parameter searches, and collaborate with networking and hardware teams to co-design features and optimize system performance.

Lead design, build, and operation of GenAI product features and a shared AI platform: RAG pipelines, LLM-driven personalization, conversational agents, agentic workflows, eval frameworks, and MLOps. Own end-to-end production lifecycle, observability, on-call, and integrations with marketing/BI systems. Collaborate with personalization teams and document architectural and evaluation outcomes.

Lead end-to-end technical strategy and implementation for iHerb's AI Platform and GenAI products. Design and build shared AI infrastructure (RAG pipelines, vector search, embeddings, evals, MLOps), set architecture and quality standards, deliver production AI systems, coordinate cross-team technical efforts, and mentor senior engineers.

Design and implement AI/ML platforms, establish secure connectivity, build CI/CD pipelines, integrate conversational AI, and ensure security compliance in insurance processes.

Designs, builds, and deploys production AI agents, agentic workflows, and API integrations across Microsoft and legal enterprise systems. Partners with attorneys and leadership to prioritize, govern, and scale AI solutions while enforcing security, compliance, and data governance.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

Lead design and implementation of cloud-first, AI-integrated full-stack applications on GCP. Drive rapid prototyping and MVPs, mentor developers, define architecture, maintain CI/CD pipelines, and collaborate cross-functionally to deliver production-ready solutions.

The Technology Program Quality Assurance Engineer enhances quality engineering in veterinary practice by leveraging technology for compliance, automation, and process improvement in quality management systems.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

Design, build, and operate scalable data and AI platform capabilities. Create reusable abstractions, templates, and services for data pipelines and products. Integrate Generative AI for discovery and automation, ensure data quality, lineage, observability, security, and support cross-functional analytics and applied-AI teams.