Top Remote AI Engineer Jobs

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The AI Developer will develop, test, and deliver NICE CXone AI solutions, focusing on chat bots and other AI systems, while also supporting production and development teams.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

Support CBP stakeholders to identify AI opportunities, design and refine prompts and AI-enabled workflows, prototype and validate AI outputs, train users, document use cases, and coordinate deployment and integration efforts to improve operational efficiency.

Design and build AI-enabled helpdesks and contact centers: implement agentic AI that plans and interacts, develop configurable front- and back-end systems, and solve customer problems with modern full-stack tools.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

Lead enterprise AI workflow modernization for clinical operations: discover opportunities, design and integrate automated workflows, ensure HIPAA-compliant governance, enable adoption through stakeholder engagement, training, and operational guidance, and influence long-term automation strategy.

Lead strategic AI platform initiatives, define product vision, drive clarity in cross-functional engagements, and improve developer productivity by delivering AI-powered capabilities.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

The role involves developing and integrating AI features into Cribl's products, collaborating with teams, and maintaining operational efficiency.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

Design and build AI-powered automation workflows and integrations for Pragmatico and clients. Lead discovery, architect solutions using LLM APIs and integration platforms (Zapier/Make.com), present solutions to stakeholders, train client teams, and create reusable automation frameworks and thought leadership content.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Lead online brand reputation by owning page-one search results, producing SEO-optimized content, building PR relationships, launching customer advocacy, and executing rapid-response campaigns during reputation attacks.

The Senior AI Platform Engineer will lead AI enablement projects across Campminder, collaborating with executives and teams to design AI tools that improve efficiency and empower users.

The Junior Engineer, AI will develop AI-powered tools for public health, collaborating on application building, automation, and data analysis.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

The Junior AI/ML Engineer will deliver machine learning projects, handle Python programming, and learn from a senior team member, focusing on real impact initiatives.