Top AI Engineer Jobs

Design and build AI-assisted research pipelines and agentic workflows to generate features, predictive signals, and systematic trading strategies. Prototype and validate strategies, integrate AI coding agents into quant workflows, and partner with researchers and PMs to productionize validated alphas.

Develop AI toolsets to accelerate test-solution development on the V93000 ATE, write Java code, analyze and publish measurement data, operate test instruments, present findings, and help create training materials.

Design, develop, test, and maintain cloud-native software solutions; troubleshoot complex defects; mentor junior engineers; contribute to architecture, CI/CD, observability, and AI enablement (LLM integrations, agent design, prompt engineering).

Architect and build reusable Angular UI frameworks and real-time chat experiences, own frontend performance and state management, integrate AI/ML APIs and real-time backends, contribute to CI/CD and GCP deployments, and collaborate with Product, Architecture, and UX teams.

Architect and implement reusable Angular UI frameworks and real-time chat components. Lead front-end engineering efforts, optimize performance and accessibility, integrate REST/WebSocket backends, support CI/CD and GCP deployments, and collaborate with Product, Architecture, and Design while mentoring peers.

Lead development of an internal AI platform and orchestration components to deploy Agents and RAG pipelines. Build core infrastructure, SDKs, APIs, and data pipelines; collaborate with applied scientists, data engineers, SRE, and QE; design developer-facing interfaces; ensure operational excellence, observability, and testable, production-grade AI services.

The Gen AI Data Engineer II develops and maintains solutions for Generative AI initiatives, including data processing and integration with data scientists and engineers.

Join the Artist-First AI Music lab to build and maintain large-scale distributed data pipelines (Scio/Dataflow), improve data quality via CI/CD, collaborate with cross-functional teams, and support generative-music products using BigQuery and other GCP tooling.

Lead the strategy and development of AI-driven shopping experiences, focusing on agentic AI and automation in commerce. Drive innovation and collaborate across teams to enhance user experiences and growth opportunities.

Drive the development of agentic AI systems and lead cross-functional teams, influencing architecture, strategy, and technical direction within CUDA ecosystem projects.

The role includes developing technical marketing content for NVIDIA's AI models in autonomous vehicles, engaging with developers and partners, leading workshops, and translating sophisticated AI concepts for diverse audiences.

Lead hands-on development of kernel generation and compiler optimizations for deep learning graphs on NVIDIA GPUs. Develop online/offline compilation and auto-tuning techniques, collaborate with hardware, software, and research teams, and transfer technology into production compilers and products.

Design and implement compiler IR, programming models, and optimizations for GPU-based AI inference; define public APIs; collaborate with hardware and framework teams to optimize performance, kernel generation, and build-time for Ahead-of-Time and Just-in-Time deployments.

The role involves defining and building a UI foundation for AI capabilities, collaborating with product teams, and enhancing user experiences through modern frameworks and libraries.

Senior QA Automation Engineer responsible for designing and executing manual and Python-based automated tests for a Network AI platform. Simulate complex multi-vendor network topologies, validate AI/ML correlation engines, WebUI, REST APIs, CLI, syslog processing, NLP pattern recognition, multi-cloud and ITSM integrations, and maintain PyTest-based automation frameworks while reporting and verifying bug fixes across releases.

The Senior Software Engineer will design distributed systems, utilize AWS for infrastructure, integrate AI capabilities, mentor developers, and optimize software development processes.

The Principal Engineer will develop AI tools for scientific authoring, enhance document workflows, and collaborate with scientists for AI integration in regulatory and manuscript submissions.

The AI & ML Platform Engineer, VP designs AI & ML platform solutions, implements hybrid cloud architectures, and drives strategy for data analytics at Citi.

Lead engineering teams to drive transformation in Employee Benefits applications using Java and AWS. Design scalable technical solutions, mentor junior engineers, and implement standards for quality assurance.

Lead engineering teams in transforming the Employee Benefits application landscape, design scalable cloud architectures, and implement best practices using Java and AWS.

The Software Engineer will develop AI-driven automation workflows for the Ansible ecosystem, collaborating with teams to enhance the development process and software quality.

As a Private Cloud AI Customer Engineer, assist customers in onboarding, provide product training, and ensure successful adoption and satisfaction with HPE PCAI products.

The Senior Software Engineer will develop backend services and AI tools, ensuring quality and scalability, while mentoring junior engineers and collaborating with teams.

Lead design and operate AI HPC infrastructure: architect orchestration (Beaker), automate cluster operations, optimize distributed GPU workloads, mentor engineers, and drive performance/debugging across software and hardware.

Lead design and delivery of AI-powered prototypes and early production systems using LLMs, vector databases, and cloud-native architectures. Build full-stack integrations, APIs, prompts, and agent workflows; partner with product, data, and security teams to transition POCs to production and ensure responsible, scalable solutions.