1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
The demand for skilled AI engineers continues to surge as companies across the USA embrace intelligent automation and machine learning solutions. This remote position offers 415 open roles for professionals eager to build cutting-edge systems while working from anywhere in the country. Organizations are actively looking to hire an AI engineer who can bridge research and real-world application in a flexible, remote-first environment.
Successful candidates typically bring strong proficiency in Python, deep learning frameworks like TensorFlow or PyTorch, and a solid grasp of data structures and algorithms. Experience with natural language processing, computer vision, or large language models is highly valued, along with the ability to deploy scalable models into production using cloud platforms such as AWS or Azure. Strong analytical thinking, collaboration skills, and a passion for continuous learning round out the profile employers seek when reviewing AI engineer positions.
Remote work has become the standard for many AI engineer vacancies in the USA, allowing companies to tap into talent nationwide without geographic constraints. Teams often collaborate through virtual stand-ups, shared repositories, and asynchronous communication tools, making flexibility and self-direction essential traits. Hiring outlook remains strong, with tech hubs and distributed startups alike competing for engineers who can deliver measurable business impact through applied artificial intelligence.
If you are ready to advance your career and explore exciting AI engineer jobs in the USA, Global Work AI invites you to discover the latest listings tailored to your expertise. Whether you are early in your journey or a seasoned professional, this is the moment to connect with forward-thinking teams shaping the future of technology. Explore current openings today and take the next step toward a rewarding remote career.

Weekday AI
Evaluate mechanical engineering tasks and AI-generated solutions, ensuring technical accuracy and safety. Develop technical instructions, reference solutions, and engineering tasks that reflect industry practices. Create evaluation datasets and benchmarks for mechanical design and analysis.

Weekday AI
Collaborate with AI teams to identify knowledge gaps and enhance model performance. Develop engineering tasks and reference solutions for circuit design, power systems, and embedded systems. Evaluate AI-generated engineering solutions for accuracy and compliance with design standards.

Next Step Systems
Build and ship iOS features using Swift. Create mobile flows for insurance and financial services, integrate backend APIs, and improve performance metrics. Utilize analytics and user behavior to enhance the product and develop AI-assisted mobile experiences.

Next Step Systems
Build and maintain cross-platform desktop applications using Electron, TypeScript, and React. Develop messaging interfaces and AI-powered features, implement desktop functionalities, and integrate backend APIs for real-time messaging.
DMS Vision
Develop and implement AI solutions, contribute to AI/Automation projects, and integrate AI technologies into enterprise systems. Collaborate with cross-functional teams to deliver analytics and automation capabilities.
DMS Vision
Design and implement workflows for AI agents using Claude Code, architect Model Context Protocol servers, and define human-in-the-loop checkpoints.
Inviso
Build and operate AI capabilities across an enterprise platform, including agent runtimes, model routing, and evaluation. Design and implement AI workflow patterns, ensuring production quality controls and monitoring of AI behavior.
Conch Technologies
Build and maintain production-grade software using AI-native development workflows. Leverage AI tools like Claude and GitHub Copilot for code generation and debugging. Review and validate AI-generated code for quality and performance.

QED
Design, build, and maintain AI systems including LangGraph agents and retrieval-augmented generation. Own retrieval quality end-to-end, integrating LLM providers and backend services. Set technical direction, review designs and code, mentor engineers, and ensure alignment with product stakeholders.
Ginas Tech Jobs
Build and maintain production-grade Android applications using Kotlin. Design and implement mobile interfaces, integrate backend APIs, and optimize application performance. Collaborate with cross-functional teams and ensure stability, scalability, and security of mobile systems.

WRS Health
Develop and refine prompts for Large Language Models (LLMs) to enhance healthcare applications. Collaborate with developers and domain experts to integrate LLM capabilities into EHR platforms.

Blue Signal Search
Develop and deploy AI capabilities, focusing on LLM systems and agent workflows. Own solutions across model integration, infrastructure, and product delivery. Diagnose issues across model behavior and application logic, while improving AI performance in quality, latency, and scalability.

mpathic
Design, build, and maintain the LLM Gateway for production services, ensuring logging, cost attribution, and PHI controls. Manage the Approved Model Catalog, documenting models, providers, and features. Implement release paths for model and prompt changes, integrating evaluation gates in CI.

Acliviti Consulting Group, LLC
Build and deploy AI-powered customer experience solutions, focusing on development, configuration, integration, testing, and deployment of conversational AI.

Leidos
Lead substation design projects, ensuring quality control and adherence to client standards. Collaborate with internal teams to develop project strategies and perform engineering tasks such as creating design drawings and bill of materials.

CSI
Develop and maintain AI platform components, services, and internal tools. Implement model routing, API integrations, and reusable utilities. Support production operations for AI services, including troubleshooting and monitoring.

EQT Corporation
Build and maintain shared agent tools and capabilities. Configure and deploy prompt agents, customize tools, and monitor the agent fleet in production. Partner with AI Specialists for testing and tuning, optimize agents, and ensure adherence to security standards.

AJAIA
Own AI-enabled features from start to finish for client delivery systems and internal platforms. Build and integrate AI capabilities into production systems, set up infrastructure, manage deployments, and apply security best practices.

Claro
Design, build, and deploy AI agents using Microsoft Copilot and Claude. Implement retrieval-augmented generation (RAG) applications with vector databases, ensuring data isolation and security.

Awesome Motive
Design and ship AI features that convert user goals into actionable campaigns and recommendations. Build AI-powered internal tools and data-driven systems, including analytics platforms and reporting automation. Clean and analyze messy data, ensuring AI outputs are grounded in facts.

Pathward, N.A.
Research, design, and develop AI and machine learning models to address business challenges. Identify opportunities for AI technology, optimize existing models, and prepare data for training.

EvolutionIQ
Develop and deploy LLM-powered features and workflows using Python and TypeScript. Maintain NLP pipelines for transforming unstructured claim data into structured formats. Ensure security and privacy in system design, and write technical design documents for significant changes.

Zensar
Design, develop, and deploy AI-powered applications using Zensar's enterprise AI stack. Build proof-of-concepts with Large Language Models and modern AI orchestration tools. Implement Model Context Protocol integrations and manage source code through CI/CD pipelines.
Mission Bridge Partners
Design, develop, and deploy enterprise-grade AI applications using Python, Azure OpenAI, and AWS. Architect Retrieval-Augmented Generation (RAG) solutions and optimize machine learning models. Implement CI/CD pipelines and ensure AI solutions meet federal security and compliance requirements.

T-Rex Solutions
Lead the development and optimization of AI applications, including prompt engineering strategies and Retrieval-Augmented Generation (RAG) frameworks. Manage AI project delivery, collaborate with cross-functional teams, and implement robust software engineering practices.

Superhuman
Build and evolve Superhuman Mail’s MCP, designing and shipping agentic workflows and personalization features. Develop evaluation systems to measure quality and catch regressions as models change.

Bright Vision Technologies
Design and implement AI-enabled application features using machine learning models. Develop Python-based data preparation and integration components. Connect model services to enterprise applications through APIs and evaluate model output quality.

Basata Inc
Manage multiple customer implementation projects from contract handoff to go-live, ensuring adherence to defined phase gates. Design workflows by mapping current processes and diagnosing failures, translating findings into agent configurations.

CCC Intelligent Solutions
Build and ship LLM-powered features and agentic workflows using Python and TypeScript. Write evaluations, guardrails, and feedback loops for feature trustworthiness. Maintain and extend NLP pipelines, and design privacy and security measures.

ASG
Partner with executives and teams to diagnose business problems and identify AI opportunities. Redesign workflows across various operations, architect and deploy AI-powered systems, and create operational intelligence.

JoVE
Build hybrid retrieval systems and improve paper-to-video matching. Develop AI pipelines for cited synthesis and troubleshooting. Evaluate models with scientific editors and manage production costs and latency. Collaborate on APIs and instrumentation to enhance search and video engagement.

Refine.ink
Design and enhance AI systems that outperform frontier models. Experiment with LLMs to maximize their capabilities, integrating multiple calls effectively. Prototype and test innovative ideas to improve system performance.

Karsun Solutions, LLC
Design, implement, and maintain AI capabilities for enterprise applications. Integrate AI technologies across various platforms, ensuring reliability and security. Lead AI integrations, validate performance, and provide technical guidance while managing multiple tasks.

Phantom
Design, develop, and deploy AI-powered tools and automation to streamline workflows. Connect LLMs and AI applications with internal systems and APIs. Build and maintain AI infrastructure and services, ensuring security and reliability.

LettrLabs
Embed with business teams to understand workflows and identify AI opportunities. Design, build, and ship AI tools from prototype to production, ensuring reliability and measuring impact. Create reusable components for faster deployments and teach teams to utilize the tools effectively.

Figma
Collaborate with teams to identify AI opportunities and design solutions. Build and productionize AI agents and workflow automations using LLMs and APIs. Integrate AI applications with enterprise systems and establish evaluation metrics for performance.

Cedars-Sinai
The AI Engineer analyzes business requirements and data definitions for enterprise data intelligence projects. Responsibilities include creating specifications for reports, conducting data analysis, and producing dashboards.

Intermountain Health
Design, develop, and test AI and Machine Learning systems for various business problems. Apply machine learning algorithms and deep learning techniques to optimize models.

XPRIZE Foundation
Design, develop, and deliver features for the Prize Execution Platform, including competition management and AI tools. Collaborate with internal teams to confirm requirements and milestones.

DeepScribe
Develop and own end-to-end AI applications, including clinical trial matching and billing automation. Improve LLM-powered documentation platforms and build inference pipelines and real-time speech recognition systems.
10,000,000+ more jobs available!