Top AI Engineer Jobs

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.

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.

The AI Engineer will develop AI-powered revenue platforms, work on AI infrastructure, approval workflows, and intelligent collections agents, focusing on reliability and customer needs.

Build and deploy AI agents and automations to streamline commercial and operational workflows. Work with stakeholders to identify opportunities, prototype LLM-based solutions, integrate via REST APIs, and maintain documentation and monitoring. Serve as technical liaison to business teams and iterate quickly on deployed tools.

Build and maintain backends and clinician tooling, integrate LLMs and custom models into production, design evals and observability, implement safety/fallback strategies, and support product expansion across clinical apps.

Design and implement cloud-native AI/ML solutions on AWS. Build LLM and RAG architectures using Transformers, PyTorch, TensorFlow, LangChain. Develop in Python and Golang, contribute to open-source projects, and apply AWS services (Bedrock, SageMaker, ECS, Lambda).

As a Forward Deployed AI Engineer, you will architect, build, and deploy Generative AI systems while working closely with customers to ensure mission success. Your role involves mission-driven software delivery, collaborating with various stakeholders, and defining solution roadmaps.

Design, build, and productionize stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized deployments, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

Design, build, and scale production-grade, stateful autonomous AI agents; integrate agents into payments, fraud, and core product systems; implement LLMOps, observability, and evals-as-code; optimize RAG/vector DB pipelines for performance and cost; handle containerization, CI/CD, and post-launch stability; mentor engineers and drive best practices.

Design, develop, and deploy scalable software systems focusing on Python, collaborate with teams to solve complex problems, and optimize system performance.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp-based fintech. Implement LLMOps, observability, RAG/vector DBs, containerized deployments (Docker/Kubernetes), eval pipelines, cost/performance optimizations, and mentor engineers to ship robust, tested agentic systems integrated with payments, fraud, and core product infrastructure.

Design, build, and scale production-grade, stateful AI agent systems integrated into core product flows. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DBs, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

The Senior AI Engineer will develop and deploy multi-agent systems, automate workflows, integrate enterprise systems, and mentor junior engineers while ensuring quality and security compliance.

Design and deploy AI agents for PermitFlow's platform, handling the full lifecycle from development to evaluation, while contributing to system architecture.

As an AI Engineer, you will design and build full-stack applications for AI-driven workflows, collaborate with diverse teams, and optimize user experiences.