Top Remote AI Engineer Jobs

Design, build, and scale production-grade AI systems (LLM agents, retrieval/RAG, evals, guardrails). Lead architecture decisions, address reliability/observability, mentor engineers, and partner with product to deliver scalable AI-driven features.

The Senior Software Engineer II at Aledade will develop scalable AI/ML solutions, mentor junior engineers, and collaborate with cross-functional teams in the healthcare industry.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

As a Software Engineer at Central, you will architect workflows, build scalable systems with high reliability, and leverage AI to automate processes, ensuring compliance and data integrity.

The Senior Software Engineer - AI Applications will develop AI-driven applications using large language models. Responsibilities include building microservices, data handling, and collaborating on innovative AI solutions.

Lead AI-driven initiatives to enhance developer tools and workflows, utilizing machine learning and generative AI to improve veterinary software development.

Lead Software Architect/Engineer responsible for developing AI-native applications, overseeing software architecture, and mentoring engineers in a cross-functional team.

Design and build AI-powered prototypes and early production systems using LLMs, agentic workflows, and vector databases; develop full-stack APIs, data pipelines, and cloud-native deployments; partner across teams to validate, document, and transition POCs to production.

The Principal Software Engineer will architect, design, and develop AI-powered solutions, collaborate across teams, and ensure high-quality delivery of projects.

Develop scalable full-stack systems for an AI financial agent, build APIs, manage data pipelines, and collaborate on agent integration.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

The AI Knowledge Data Engineer will design and implement AI systems using LLMs, build data pipelines, and develop knowledge representation solutions for enhanced information retrieval and processing.

Design, build, and operate end-to-end ELT pipelines that extract structured JSON from complex leasing documents using LLMs. Optimize LLM API calls and prompts, implement validation and monitoring, and collaborate with product and engineering to evolve schemas and ensure production-ready data quality.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

The Senior Software Engineer will design, build, and maintain data infrastructure and processing systems, ensuring robust data pipelines and collaborating with stakeholders on data discovery and lineage initiatives.

Design, architect, and deploy generative AI/LLM solutions from prototype to production; work directly with clients to translate business needs into technical plans; write production-quality code integrating LLMs and ML models; collaborate with cloud, DevOps, and frontend teams; support proposals, sales, and evaluation/observability of models.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

The HPC Engineer will solve complex AI issues, integrate AI into CAE workflows, and collaborate with customers and the development team at Rescale.

The Application Engineer will develop AI Physics capabilities, work with customers to tailor solutions, and enhance product features based on customer feedback. Responsibilities include building AI-ready data pipelines and debugging complex issues in workflows.

This role focuses on pre-sales engineering for customer service automation solutions, requiring a strong technical background and experience in CCaaS, AI, and analytics to engage with clients and support sales teams effectively.