Top Remote AI Engineer Jobs

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Design and implement compiler IR, programming models, and optimizations for GPU-based AI inference; define public APIs; collaborate with hardware and framework teams to optimize performance, kernel generation, and build-time for Ahead-of-Time and Just-in-Time deployments.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

The Lead Pre-Sales AI Solutions Engineer will design and build AI applications for enterprise customers, effectively communicating AI value and integrating with business processes.

Develop and deploy AI agents, integrating them with external systems and optimizing performance in multi-agent environments. Collaborate with product managers to align agent capabilities with business needs, exploring technologies in Generative AI and LLM orchestration.

Design and build AI-powered features for a litigation platform, focusing on system reliability, scalability, and integration with existing systems. Optimize performance and champion engineering best practices throughout the development process.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

The AI Software Engineer will design and implement AI-powered features, focusing on machine learning models and their integration into production systems. Responsibilities include end-to-end development, experimentation with new tools, and improving software performance.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

The Principal Engineer, AI Architect will design and implement Generative AI solutions, lead engineering teams, and shape the AI vision.

This role involves designing, training, and evaluating ML models, collaborating on AI initiatives, and optimizing model performance for practical applications.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As an AI Engineer at Unify, you will develop and scale AI products and infrastructure, collaborating with teams to innovate workflows using AI technologies.

The AI Native Engineer will integrate AI into growth marketing processes, enhancing performance marketing, CRM, and creative production through automation and tools while collaborating across teams.

You will enhance and scale backend systems for a conversational AI platform, develop APIs, and design cloud infrastructure, collaborating with a team on AI-driven features.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

The Lead AI/ML Engineer evaluates emerging technologies, leads teams in adopting solutions, and provides technical leadership while mentoring junior specialists.

The Senior Staff AI Software Engineer will architect an AI-native pharmacy benefits platform, focusing on software development, system design, and mentoring junior engineers.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

As a Staff Data Engineer, lead the architecture of a Snowflake-centric data platform, focusing on LLM-based data strategy and AI-driven products, while mentoring engineers and ensuring data integrity and performance.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.