Top Remote AI Engineer Jobs

This role involves building AI-powered applications, developing workflow automations, collaborating with teams, creating documentation, and continuous learning in AI and technology.

As a Principal AI Engineer, you will design and implement AI models, mentor others, and tackle complex problems in a collaborative team to deliver secure AI solutions for customers.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

Lead end-to-end post-training lifecycle for LLMs: curate SFT and preference datasets, run SFT and preference optimization, evaluate and monitor models, deploy agentic LLM systems, integrate into low-latency production, and provide technical leadership for alignment, safety, and versioning.

As a Senior AI Engineer, you'll design and implement advanced AI systems using LLMs, develop multi-agent architectures, and enhance user experiences through AI-driven solutions.

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

The Senior Lead AI Engineer will design, develop and deploy AI systems, collaborate with cross-functional teams, and improve performance scalability in AI applications.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The AI Developer II will develop, deploy, and scale AI and GenAI solutions, assisting in Cencora's digital transformation and enabling data-driven decision-making.

The Senior Product Manager will lead the Developer Experience team to build developer tools, enhance APIs, and engage with the developer community, focusing on AI-assisted development and product growth.

Design and operate distributed, event-driven backend systems in Python for high-volume financial data. Build typed APIs, own end-to-end data and ledger architecture, implement resilient infrastructure primitives, and partner with ML and product teams to productionize AI-native financial workflows and platform foundations.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

The Senior Staff Cyber Security Engineer will ensure secure technology deployment, focusing on AI security controls, threat modeling, and cyber security best practices, collaborating with various teams.

Lead AI ML Engineer responsible for building AI systems, ensuring model quality, and driving architecture and governance standards while collaborating cross-functionally.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.