Remote AI Engineer Jobs (899)

Principal Platform AI Engineer

AI Engineer

Principal AI Engineer

You will architect and build production AI automation systems while leading technical implementation across various departments. The role involves a mix of hands-on engineering and servant leadership, including mentoring team members and facilitating discovery sessions with stakeholders.

AI Engineer (LLM systems)

You will design and improve AI systems that outperform frontier models on specific high-stakes tasks. The role focuses on maximizing the performance of LLMs through complex system architectures and iterative testing.

AI Engineer I, II, III or Senior

The Senior AI Engineer leads the end-to-end delivery of AI solutions, partnering with business leaders to identify opportunities and define technical roadmaps. This role also mentors engineering teams, sets architectural standards, and ensures AI initiatives align with organizational governance and safety requirements.

Staff AI Engineer, Agentic Automation

You will own the end-to-end architecture, roadmap, and production maintenance of AI agents designed for application onboarding and self-healing automation. This includes building systems to detect drift, diagnose failures, and re-validate fixes while managing security and cost benchmarks.

AI Engineer Senior

Develop end-to-end software using AI agents as the primary tool while maintaining high standards for code quality and production reliability. Define and implement evaluation metrics, tracing, and system architecture to ensure agent-driven solutions perform effectively in a business context.

[Job- 32501] AI Engineer Senior, Brazil

You will architect and deploy scalable generative AI applications using foundation models and multi-agent systems. The role involves collaborating with cross-functional teams to integrate AI solutions into enterprise environments while ensuring performance and quality.

AI Engineer

Build, deploy, evaluate, and maintain production AI features, including agents, classifiers, RAG pipelines, and AI search. Integrate and optimize AI services across WeRoad’s product and data stack, monitor quality, latency, and cost, and take solutions from identifying a need through production and ongoing monitoring.

Generative AI Engineer

Design, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build reliable training pipelines, evaluate model performance, collaborate with cross-functional partners, and contribute through code and design reviews and mentorship.

Applied AI Engineer

Build and maintain production applications and features that integrate approved AI models and services into clinical documentation, coding, and revenue cycle workflows. Design user interactions, prompts, safeguards, and evaluations, while owning reliability, monitoring, security, compliance, and ongoing production support.

Sr. Data & AI Engineer

Lead product discovery and cross-functional delivery by translating technical, business, and customer needs into achievable objectives and strategic solutions. Identify and drive improvements to data architecture, processes, and organizational practices while mentoring engineers and supporting customer-facing and business development efforts.

Mid AI Engineer

Design, build, and deploy production-grade ML and LLM-based systems for enterprise clients. Own the end-to-end technical delivery while mentoring junior engineers and shaping internal technical standards.

Applied AI Engineer

You will build AI-powered products, agents, and automated workflows by turning business needs into functional prototypes. You will also collaborate with international teams to integrate, test, and maintain these solutions in real-world client environments.

Edge AI Engineer

Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Implement on-device model updates, performance tuning, and cross-platform inference runtimes while collaborating with hardware and firmware teams.

AI Engineer

AI Engineer

The AI Engineer will design, develop, and deploy production-grade AI applications, focusing on Agentic AI, multi-agent systems, and RAG pipelines. They will also manage cloud-based AI solutions, backend API development, and ensure system reliability through monitoring and CI/CD practices.

Lead Data Solution and AI Engineer

The Lead Data Solution and AI Engineer provides technical leadership and guidance for BI and AI project initiatives. Responsibilities include designing scalable data pipelines, developing AI/ML models, and ensuring data governance and security across Azure environments.

AI Engineer

Design, implement, and maintain AI-assisted development and automation solutions within enterprise platforms. Lead AI integrations while ensuring security, performance, and compliance with federal privacy requirements.

AI Engineer

You will deploy and operate LLM inference services, AI gateways, and RAG pipelines within customer environments. Additionally, you will be responsible for instrumenting services for observability, running benchmarks, and providing pre-sales support.

AI Engineer Mid-Level

You will develop and implement intelligent agents and RAG solutions using Microsoft Azure technologies. Additionally, you will participate in the deployment, monitoring, and quality assurance of AI systems within a specialized team.

AI Engineer

AI Engineer (Agentic AI SDLC)

Design, develop, and deploy enterprise-grade applications using Agentic AI SDLC and AI-accelerated delivery methods. Collaborate with cross-functional teams including architects, product owners, and QA to transform business requirements into scalable AI systems.

AI Engineer

Design, develop, and deploy AI-powered tools, agents, and automation to streamline internal workflows and solve business problems. Build and maintain the underlying infrastructure and integrations to ensure AI applications are secure, reliable, and scalable.

Senior AI Engineer, Platform Integration

You will lead the integration of external AI tools into the Quinn platform by building a secure, production-ready service with robust authentication and audit trails. This role involves partnering with security teams to implement strict authorization controls and ensuring compliance with enterprise-grade security standards.

Junior Applied AI Engineer (LLM Systems)

Design and execute evaluation frameworks for AI agents, including test datasets and LLM-as-a-Judge methodologies. Build, optimize, and monitor AI guardrails and moderation systems while collaborating with cross-functional teams to ensure reliable and compliant solutions.

Senior AI Engineer

Develop and deploy real-time recommendation engines, ranking algorithms, and personalized marketing models to enhance customer experiences. Manage end-to-end machine learning pipelines and evaluate business impact through rigorous A/B experimentation.

AI Engineer

Design, develop, and deploy scalable AI/ML models and LLM-powered applications to enhance cost engineering capabilities. Build and maintain end-to-end ML pipelines while ensuring production-grade performance and monitoring.

AI Engineer, Internal Tools

You will partner with cross-functional teams to identify high-value AI opportunities and build production-ready AI agents and workflow automations. You will also design evaluations, feedback loops, and guardrails to ensure the reliability, security, and scalability of AI solutions across the enterprise.

GenAI and Agentic AI Engineer

The GenAI and Agentic AI Engineer is responsible for designing, developing, and optimizing generative and agentic AI solutions to enhance business applications. This role involves collaborating with cross-functional teams to integrate AI models, establish observability frameworks, and ensure ethical AI governance.