Top AI Engineer Jobs

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.

As an Applied AI/ML Engineer, you'll develop and deploy machine learning models, build data pipelines, and collaborate with scientists to improve materials processing and characterization.

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 Backend Engineer, you will build AI systems for document processing and data extraction, creating reliable backend infrastructure and optimizing AI workflows.

Design and scale AI-driven backend systems for document processing and entity resolution. Lead architecture, improve engineering standards, and collaborate with cross-functional teams in a fast-paced environment.

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

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

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.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

You will own the delivery of AI features, design and build applications utilizing LLMs, and work across the tech stack with a focus on user experience.

You will build scalable data pipelines for processing large datasets, optimize training throughput, and evolve data storage solutions at XPENG.

Design and develop AI-powered tools and architectures, integrating LLM features, maintaining full-stack systems, and providing technical leadership within a team.

As a Product Engineer, you'll implement AI features, collaborate with teams, prototype workflows, and improve developer processes at Vori.

As an AI/ML Systems Engineer, you will build on-device inference engines, integrate AI technologies, optimize performance, and collaborate with model authors to enhance LM Studio.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

The AI/ML Engineer will develop AI/ML solutions, drive business impact, and collaborate across teams to enhance profitability through advanced analytics.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

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 design and delivery of generative AI features end-to-end, prototype and productionize early-stage AI systems, set technical direction, mentor engineers, and collaborate with product and design to drive measurable product impact.

Build and maintain enterprise-scale ML/LLM infrastructure on Azure: create automated, secure CI/CD pipelines, provision resources with Terraform, enable real-time inference and RAG pipelines, and collaborate with data science and product teams to productionize generative AI solutions.

Develop and scale AI-powered features for Vendelux's platform, focusing on data-driven solutions and enhancing user experience in event marketing.

The Value Engineer will quantify the business value of OpenAI's technology, conducting assessments, building ROI models, and influencing executive decisions regarding AI adoption across sectors.

The Value Engineer will assess business value, develop ROI models, and collaborate with teams to ensure AI adoption delivers measurable outcomes for customers. Responsibilities include leading value assessments, creating business cases, and shaping the value engineering function.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.