Top Remote AI Engineer Jobs

As a Senior AI Engineer, you will lead complex customer engagements, design AI-native solutions, and manage deployments in cloud environments while collaborating with multiple teams.

The role involves developing AI systems software, implementing and optimizing kernels for AI workloads, and collaborating on deep learning frameworks and libraries.

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

As a Senior Software Engineer, you will enhance Mercury's internal AI platform, improve knowledge management, and support rapid prototyping for AI workflows across teams.

The Senior AI Data Engineer will design and build scalable data pipelines, ensure data quality, and support AI product development through a unified analytical data framework.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

Embed with client teams to map and redesign creative workflows, build and deploy AI-powered pipelines integrated with DAMs/CMS/marketing stacks, create proofs of concept, establish governance, and train teams to adopt scalable content production automation.

Embed with client teams to diagnose operational friction, redesign operating models, and build AI-powered proofs of concept. Map workflows, establish governance and measurement frameworks, scope engagements, drive adoption, and deliver working prototypes to demonstrate measurable business value.

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Operate and support production AI infrastructure across global datacenters, focusing on high-performance NVIDIA GPU platforms, Kubernetes, and high-speed networking. Monitor and troubleshoot infrastructure, network, hardware, and platform incidents; participate in incident response and root cause analysis; improve observability, automation, and operational runbooks.

Design, build, and scale AI-powered automation using LLMs, RAG, vector DBs, prompt pipelines, and agent systems. Integrate with internal tools and cloud platforms, implement orchestration, observability, security guardrails, measure impact, and partner cross-functionally to replace manual processes with reliable production-grade automation.

Design, build, and ship end-to-end AI features: implement multi-step agentic flows with LangChain/LangGraph, integrate LLMs, connect to live data sources, deploy and monitor AI services on cloud, and instrument observability. Optionally build React/TypeScript front-end components for streaming AI outputs and co-pilot experiences.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Embed with enterprise clients to discover, build, and deploy AI agent workflows against messy, unstructured data. Lead technical onboarding, construct connectors and pipelines, run production deployments, serve as primary technical contact, feed product insights back to engineering, and create repeatable implementation playbooks.

Senior IC in BizTech who builds, integrates, governs, and operates LLM-powered workflows across G&A and GTM. Owns MCP and connector roadmaps, vendor security/privacy reviews, prototypes reference architectures, and operationalizes internal AI tools with monitoring, governance, and stakeholder alignment.

Lead AI-enabled transformation for insurance clients by mapping and redesigning workflows, capturing expert knowledge, co-designing AI solutions, and enabling enterprise tool adoption. Support client engagements from discovery through prototyping to scalable implementation, advise on governance and evaluation, and collaborate with domain experts, AI engineers, and product teams to translate business problems into validated AI use cases.

Translate cutting-edge ML and physics research into production-grade scientific code, architect and scale large-scale simulation and training pipelines on GPU infrastructure, optimize hardware-level performance, and support models throughout the product lifecycle to accelerate in silico drug and materials discovery.

As an AI Native Forward Deployed Engineer, you'll bridge customer operations and product development, implementing technical solutions and enhancing the platform based on field insights.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

As an AI Process Forward Deployed Engineer, you will deploy enterprise workflows, improve systems, drive adoption, and collaborate across teams to enhance AI integration in business processes.

As a Senior Software Engineer, you will develop core data pipeline components for an AI-native data warehouse, oversee feature delivery, and ensure data quality and reliability.

Design, build, and operate production AI systems, enhance backend services, improve reliability, and collaborate on technical projects within the AI-native engineering team.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.