Top Remote AI Engineer Jobs

As a Specialist Solutions Engineer at Kong, you will leverage AI and technical expertise to guide enterprise customers in architectural decisions, develop AI solutions, and mentor junior engineers while managing multiple projects.

The AI/ML Engineer will develop synthetic training data, optimize AI/ML models, implement deployment strategies on constrained platforms, and enhance machine learning systems. They will also monitor model performance and manage improvements.

The AI/RAG Engineer will architect AI integration patterns, design AI features, implement evaluation frameworks, and collaborate with cross-functional teams to enhance procurement workflows.

Looking for a Staff AI Productivity Engineer to enhance the effectiveness of AI coding tools within engineering. Responsibilities include building infrastructure, integrations, and documentation to improve AI productivity across the codebase.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

The Senior Software Engineer will drive integration of NVIDIA Grove with open-source AI frameworks, develop production-grade software, optimize performance, and collaborate with teams for robust integrations.

Design and deploy machine learning models for personalized recommendations and search on Zillow's platforms. Collaborate with cross-functional teams to enhance user experience.

The Lead AI Cloud Platform Engineer develops and operates Allstate's cloud application platforms, focusing on AI solutions using Azure, AWS, and Google technologies while mentoring junior team members and delivering innovative solutions.

As a Senior AI Cloud Platform Engineer, you will develop and manage cloud platforms for AI applications, utilizing GenAI engineering skills and infrastructure as code principles, while supporting operational tasks and collaborating with teams.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

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.

As a Senior Software Engineer at Alteryx, you'll develop backend systems for AI experiences, focusing on Python services and APIs. You'll collaborate with cross-functional teams while improving service reliability and mentoring other engineers.

The Sr. Software Engineer will develop AI-powered frontend experiences, collaborate on features across products, and improve frontend architecture, mentoring juniors and working with APIs and testing frameworks.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

This position involves developing and deploying AI and machine learning solutions, contributing to cross-functional projects, and mentoring junior staff, with a focus on healthcare and insurance applications.

The Lead AI & Machine Learning Engineer will develop and industrialize GenAI and machine learning solutions, lead projects, mentor junior members, and improve current ML models within a SaaS framework.

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

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Design and maintain context pipelines, optimize prompts, develop internal tools, and mentor junior engineers while staying current with LLM research.

NVIDIA seeks an engineer to develop and optimize algorithms for AI workloads using the Megatron Core and NeMo Framework, focusing on large language models. Responsibilities include performance tuning, model training, and contributing to open-source projects.

The role involves creating technical content, collaborating with teams to develop AI Physics workflows, and representing NVIDIA at events to engage the developer community.

Lead development of high-throughput, low-latency LLM inference: contribute upstream to vLLM/SGLang, optimize runtimes from Python to CUDA, improve multi-GPU/node scaling, ensure robustness and observability, and mentor engineers while integrating community advances into production.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.