Top AI Engineer Jobs

Lead and execute Generative AI strategy for Global Markets Regulatory Reporting. Define engineering approach, design scalable GenAI solutions, set technology stack, oversee cross-team design and testing, integrate GenAI tools, and drive implementation for multi-tier, microservices-based platforms to deliver business outcomes.

Lead technical design and delivery of AI-native workflows for iOS/Android mobile engineering. Build and scale agentic AI-assisted development tools, spec-driven practices, CI/CD, testing, and release automation while partnering with product, design, security, and platform teams to improve quality and velocity.

Lead enterprise AI transformation by discovering opportunities, designing and building scalable LLM/agent-based workflows, architecting data and integration solutions, partnering with cross-functional stakeholders, and driving production delivery and adoption across business units.

Design and implement scalable AI/ML-driven HealthTech microservices, contribute to technical architecture, write high-quality code, perform code reviews, develop proofs-of-concept, troubleshoot production issues, and document work while collaborating in agile teams.

Build and ship end-to-end AI-native product features across frontend, backend, and infrastructure. Integrate LLMs and agentic workflows with email, calendar, docs, and tools, design polished UX, and develop suggestion engines and workflow builders for web, desktop, and mobile. Influence product direction as an early, in-office hire.

Join Hiring.Cafe as a Founding Machine Learning/AI Search Engineer to develop AI recommender systems and scalable infrastructure, contributing to a transformative job search engine.

Develop and operate a system for argumentation related to AI safety, utilizing ontologies and knowledge graphs while collaborating with various stakeholders.

The Research Engineer will develop AI platforms focusing on alignment challenges, multi-agent systems, and optimization algorithms while collaborating on technical publications and prototypes.

Develop and maintain LLM pipelines, design RAG architectures, implement agentic systems, and integrate AI features into data pipelines.

Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

As an AI Product Engineer, you will develop and deploy LLM-powered language learning products, enhance existing features, and collaborate cross-functionally to optimize performance and user experience.

Lead end-to-end AI-first transformation for operations: define problems, design architecture, build agentic systems and automation pipelines, integrate with CRMs and operational tooling, ship production solutions and drive company-wide AI adoption.

As a Research Engineer, you will optimize AI performance, focusing on kernel development for large-scale ML workloads, profiling bottlenecks, and collaborating with teams to enhance model training and inference.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

Integrate LLMs, RAG, and agentic-AI into secure decision-support software. Design prompts and inference workflows, connect AI to backend services, evaluate outputs, build tests, document designs, and collaborate with engineering, security, and DevSecOps teams to deliver reliable mission-capable AI features.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

Design and build secure, cloud-native AI applications using LLMs, RAG, and Amazon Bedrock to provide AI-assisted search, summarization, and clinical question-answering; integrate with enterprise healthcare systems using FHIR/HL7, implement vector search and prompt orchestration, ensure Fed security/privacy compliance and CI/CD, and support testing, monitoring, and governance for production readiness.

The Senior Enterprise Data Architect will design and govern enterprise data and AI architecture by guiding implementation patterns, ensuring scalable solutions, and building prototypes for validation. The role requires deep cloud data platform expertise and strong stakeholder management skills.

Develop and implement AI models and algorithms using Azure technologies, focusing on full-stack development, AI solutions, and collaboration with stakeholders to optimize business processes.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Lead the design and optimization of batch and streaming data pipelines, ensuring high-quality data delivery for AI and analytics, while mentoring and promoting engineering best practices.

Build and ship end-to-end AI-native product features, prototype with modern AI models/APIs, collaborate with product/design, maintain fast reliable systems, and improve dev workflows and deployments.

Lead technical discovery and solution design for enterprise MedTech customers, translate claims data into commercial insights, deliver data via secure sharing/APIs/warehouses, own RFPs and security reviews (SOC2/HIPAA/BAA), enable demo environments and AI narratives, and institutionalize best practices across Sales, Product, Data, and Engineering.