Top AI Engineer Jobs

Lead end-to-end delivery of AI-powered finance applications: design intuitive UIs, integrate and secure AI microservices, translate low-code prototypes into production systems, collaborate with finance stakeholders, and evaluate platform capabilities to improve workflows.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

As a Senior Software Engineer in Agentic AI, you will develop AI-driven software translation tools, design workflows, and collaborate with specialists to enhance code generation pipelines.

Lead AI integration and full-stack development across the platform, rapidly prototype and ship production-quality features using Node.js, React, TypeScript, Ruby, GraphQL and Postgres, ensure secure handling of healthcare data, set technical standards, and mentor engineering team members.

The AI Forward Deployed Engineer designs and deploys AI-driven solutions, collaborates with customers, develops integrations, and enhances automation technologies.

The Senior Digital Design Engineer will design and implement digital designs for high-performance connectivity solutions, collaborating across teams for successful product delivery.

The Principal Digital Design Engineer will architect and implement complex digital designs for connectivity solutions, oversee micro-architecture and RTL implementation, and mentor junior engineers.

Lead technical architecture for AI initiatives, mentor mid-level engineers, and deliver scalable AI systems in a complex, cross-functional environment.

Lead technical architecture and direction for complex AI/ML systems, mentor engineers, and drive innovation in applied AI at GEICO.

The Principal Engineer will lead AI-driven shopping initiatives, overseeing development of intelligent agents and driving AI integration in commerce, requiring deep expertise in AI and e-commerce.

Lead design and development of compute systems for autonomous vehicles, mentor junior engineers, and provide technical leadership throughout the engineering process.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

We are seeking an AI Data Engineer to own the full data lifecycle, building systems for unstructured data and enabling autonomous AI actions.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Design, prototype, and ship AI-powered features (copilots, agents, RAG, extraction, routing) end-to-end. Collaborate with Product, Design, Data, and customers; produce production-grade code, tests, and documentation; iterate quickly using modern AI tooling and observability.

The Staff AI Embedded Software Engineer will lead initiatives in embedded software development for connected devices, focusing on AI integration, architecture, and mentoring teams.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

The AI Solutions Engineer will design and implement AI tools, automate workflows, and enhance customer interactions while collaborating across teams to improve internal processes.

Design, build, and own LLM-powered product features that help users manage finances. Implement prompt engineering, RAG and retrieval systems, evaluation datasets/scorers, multi-agent orchestration, and production ML/AI services. Collaborate with AI Platform on routing, observability, and production quality.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.