Top AI Engineer Jobs

As a Lead Software Engineer at Thomson Reuters, you will innovate AI-driven software, build backend services, and lead cross-functional teams to enhance accounting workflows through automation and intelligence.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

The Principal Machine Learning Engineer leads the deployment of multi-modal AI models on mobile platforms, setting technical vision and optimizing inference performance, while mentoring a team and collaborating cross-functionally.

Operate and scale an Azure-based AI platform (Companion) by maintaining AKS infrastructure, improving observability, handling incidents, ensuring security and operational hygiene, and building runbooks and processes to support production AI agent workloads and deployments.

Design, build, and operate cloud backend services powering connected hardware: device connectivity, telemetry ingest, state management, and data pipelines. Own features end-to-end, lead medium projects, mentor juniors, collaborate with firmware/mobile/platform teams, apply AI-native engineering practices, and participate in on-call incident response and post-mortems to ensure scalable, secure, reliable systems.

Lead development of AI agent frameworks for Windows, optimizing performance, ensuring security, and collaborating with AI research teams. Mentor engineers and establish best practices.

Lead the development and optimization of AI agent frameworks on Windows for NVIDIA GPUs, ensuring privacy and security. Collaborate with AI research and open-source communities, mentoring engineers and establishing deployment best practices.

The Solutions Engineer will manage client data onboarding, ensuring data quality, facilitate collaboration between teams, and enhance data solutions for enterprise clients.

Design and develop AI capabilities and scalable microservices. Collaborate to integrate AI models and ensure performance in cloud environments.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

The Support Engineer at Dust will resolve customer issues, ensure quality of AI-generated responses, manage documentation, and contribute to tooling and solutions development for better user experiences.

Lead the development of AI systems for an automation platform, focusing on design, implementation, and evaluation of AI/ML projects in financial services.

Design and implement AI-driven solutions, collaborate with stakeholders, and scale AI knowledge across the organization. Foster AI adoption and develop scalable frameworks.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

The AI Platform Engineer will build a firmwide AI Development Platform, focusing on scalable and secure solutions, implementing AI capabilities, and improving productivity across the organization.

The AI Go-to-Market Engineer will deploy, train, and optimize AI systems across Flosum's revenue operations to enhance productivity, automate processes, and drive efficiency while working directly with the CEO.

The Senior Data Engineer will design and maintain data architectures, work with operations teams, solve complex data challenges, and document decisions for stakeholders.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Applied AI Engineer will onboard customers, guide on product integration, deploy AI solutions, and collaborate with various teams to enhance product capabilities and address client needs.

The AI Prompt Developer will create and refine prompts for LLMs, test changes based on data insights, and collaborate with various teams to enhance prompt accuracy and effectiveness.

The AI Application Engineer drives AI transformation in semiconductor test workflows, leading customer engagements and collaborating globally to deploy innovative AI solutions.

As a Staff Software Engineer at Databricks, you'll lead development of AI-driven products, creating user-centric designs in a startup environment. You'll collaborate with cross-functional teams to build scalable solutions and establish best practices for impactful AI applications.

The role involves developing intuitive interfaces and solutions for generative AI applications while collaborating with cross-functional teams to drive product growth and strategy.

The Senior Software Engineer will build AI products, create user-centric interfaces, and collaborate across teams to drive product growth through intuitive design and full-stack development.