Top AI Engineer Jobs

Design and build a unified evaluation platform and automated pipelines to evaluate LLM-based agents at enterprise scale. Implement observability, tracing, feedback loops, and guardrails; integrate LLMs, retrieval, embeddings, and orchestration; partner with product and ML teams to turn production failures into evaluation cases.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The Senior AI Engineer will develop AI solutions for incident management, collaborate cross-functionally, and enhance observability tools through iteration and ownership.

Lead the development of AI for a multiplayer RPG, overseeing architecture, mentoring engineers, and aligning AI with creative visions. Drive innovation and ensure high-quality game experiences.

Lead the development of AI/ML solutions for government missions, providing technical direction, evaluating emerging technologies, and overseeing implementation while ensuring compliance with DoD standards.

Participate in a work-integrated program combining structured learning with real work in software engineering and data science. Complete boot camps while contributing to actual projects and receiving mentorship.

Apprentices will complete a bootcamp in Data Science & AI while working on software projects, writing code, and collaborating with experienced developers.

Join FurtherAI as a Software/AI Engineer to build AI solutions for the insurance industry, contributing to backend systems and data pipelines.

The Principal AI Engineer will lead the strategy and delivery of AI applications for molecular discovery, developing LLM workflows, predictive models, and analytics platforms.

As a Senior AI Engineer, you will design shared GenAI components, deliver architecture guidance, and mentor engineers while promoting responsible AI practices.

As a Principal AI Engineer, lead AI Accelerator projects, manage a multi-disciplinary team, and deliver generative AI solutions across various business processes.

The Senior Backend Engineer will lead the architecture and development of scalable APIs and services, manage AWS infrastructure, and mentor junior engineers while integrating production-grade AI features.

Seeking a Senior Java Developer to drive AI adoption and improve developer experience through automation, tooling, and frameworks. Responsibilities include design and delivery of AI-assisted workflows, test automation frameworks, platform tooling, and optimizing development processes.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and delivery of end-to-end AI robotics solutions: prototype models, integrate and deploy inference/training frameworks, advise stakeholders, mentor engineers, and drive cross-functional AI projects in manufacturing.

The Staff AI/ML Engineer will advance machine learning for autonomous driving by researching and prototyping techniques, collaborating with teams, and publishing findings.

The role involves providing AI leadership, influencing technical direction, driving innovation, mentoring engineers, and collaborating across teams to adopt AI in software development.

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

Design and scale backend services and developer tools for WHOOP's Generative AI platform using Java, AWS, and PostgreSQL; build APIs, observability, and abstractions to enable safe, scalable LLM-powered features; collaborate cross-functionally and mentor junior engineers.

Build and maintain AI-driven backend services and APIs, integrate LLM providers (OpenAI, Anthropic), implement scalable systems using Postgres and Redis, design Pydantic data models, write tests, troubleshoot performance, and collaborate on deployment and platform improvements.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

Design and build AI-driven systems and prototypes using language models and AI APIs. Integrate vector stores and RAG architectures, evaluate hosted and open-source models, and partner with cross-functional teams to deliver production-ready solutions.

Design and develop Generative AI agents for intent recognition and query decomposition, integrating them with internal and third-party systems, while ensuring operational efficiency and self-service data capabilities.