Top AI Engineer Jobs

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

Lead development and deployment of AI/ML and GenAI features into smart building products (cloud, edge, on-prem). Build inference and MLOps infrastructure, implement LLM-powered features (RAG, agents), and mentor engineers to elevate team AI capability and developer tooling.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

The Senior AI Engineer will develop AI tools, enhance coding workflows, implement automation, and provide training while leveraging AI coding tools and metrics tracking.

Develop and implement Agentic AI solutions for semiconductor applications, collaborating with cross-functional teams to enhance efficiency and quality.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

Designs, builds, and ships agentic AI workflows for geothermal operations: end-to-end prototyping, retrieval/RAG pipelines, semantic grounding, knowledge graphs, evaluation, observability, Azure deployments, and cross-functional enablement.

As a Senior Backend Engineer at Posh, you will design, build, and maintain scalable systems and APIs for AI features, focusing on Multi-Agent Systems and cloud infrastructure management.

Design, build, and operate autonomous infrastructure AI agents on Airwallex's Quartermaster platform to automate SRE, DevOps, and DBA workflows. Integrate agents with Kubernetes, Terraform, cloud APIs, monitoring, databases, and CI/CD. Define agent architecture, safety guardrails, evaluation metrics, and collaborate with SRE and platform teams to deploy reliable, auditable autonomous systems in production.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.

Build and operate an enterprise AI platform and integrations that connect LLMs to internal systems. Develop production AI applications, manage model/provider evaluations, ensure security/compliance for government environments, and deliver company-wide AI training and enablement.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Design, build, and deploy scalable AI/ML systems within the OneStream platform. Implement time series forecasting, anomaly detection, and NLP solutions. Troubleshoot full-stack issues, participate in technical design sessions, collaborate cross-functionally, and continuously learn and improve code and AI practices.

Develop and deploy production ML applications within the OneStream platform using Python and SQL/NoSQL. Build scalable services, troubleshoot full-stack issues, participate in technical design, collaborate cross-functionally, and integrate data science solutions into products.

As a Senior ML/AI Engineer, you'll build an AI operational backbone for a new consumer membership app, shipping AI-native features for millions of users.

The Embodied AI Engineer will deploy VLA models on physical robots, validate them in simulation, and ensure they meet production reliability standards while handling real manufacturing challenges.

As the Founding GTM AI Engineer, you will create AI-driven solutions to enhance revenue-generating workflows, build automations, and analyze sales data to inform strategies.

As a Senior AI Engineer at Epic, you'll develop core AI features, collaborate across teams, optimize gameplay systems, and enhance player experiences in real-time entertainment.

Lead design, development, and maintenance of enterprise-grade Generative AI platforms and services using Python, Node.js, and TypeScript. Architect scalable AI integrations, work with data science and business stakeholders, deploy GenAI products, enforce coding and testing standards, mentor engineers, and ensure governance, risk, and operational best practices across Citi's GenAI ecosystem.

Lead architect and hands-on engineer designing enterprise-grade agentic AI systems. Build scalable, fault-tolerant LLM, RAG, and multi-agent solutions; design data pipelines, MLOps, deployments, observability, and governance; mentor engineers and influence product/platform strategy.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.