Top AI Engineer Jobs

Design, architect, and scale cloud backend infrastructure for real-time media and sensor data streaming. Own reliability and throughput SLAs, collaborate with AI teams, and mentor engineers.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

Lead development and deployment of AI/ML and GenAI features into smart building products (cloud, edge, on-prem). Build inference and MLOps infrastructure, implement LLM-powered features (RAG, agents), and mentor engineers to elevate team AI capability and developer tooling.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

The Senior AI Engineer will develop AI tools, enhance coding workflows, implement automation, and provide training while leveraging AI coding tools and metrics tracking.

Develop and implement Agentic AI solutions for semiconductor applications, collaborating with cross-functional teams to enhance efficiency and quality.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

Designs, builds, and ships agentic AI workflows for geothermal operations: end-to-end prototyping, retrieval/RAG pipelines, semantic grounding, knowledge graphs, evaluation, observability, Azure deployments, and cross-functional enablement.

Design, build, and deploy autonomous AI agents using LLMs and agent frameworks; integrate agents into e-commerce and supply chain systems; implement multi-agent orchestration, memory and tool integrations; fine-tune models and apply RL concepts; and build safety, monitoring, and MLOps pipelines.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

Designs, builds, and deploys production AI agents, agentic workflows, and API integrations across Microsoft and legal enterprise systems. Partners with attorneys and leadership to prioritize, govern, and scale AI solutions while enforcing security, compliance, and data governance.

Lead enterprise GenAI platform architecture and strategy; design and own agentic LLM systems at scale; drive company-wide LLM integration and cognitive automation roadmap; set engineering standards for distributed ML systems; align cross-functional and executive stakeholders; mentor and hire senior engineering talent.

Design and optimize a low-level AI inference serving stack: customize open-source frameworks, build model partitioning/scheduling, integrate with proprietary accelerators, profile and optimize across Python orchestration to C++ kernels and drivers, and enable PyTorch-native deployment tooling.

Design and implement a novel AI inference engine through hardware-software co-design. Collaborate with ML, software, and cloud engineers; model PPA trade-offs; contribute to RTL design, simulation, verification, and roadmap planning to optimize inference for modern LLM workloads.

Lead design and implementation of cloud-first, AI-integrated full-stack applications on GCP. Drive rapid prototyping and MVPs, mentor developers, define architecture, maintain CI/CD pipelines, and collaborate cross-functionally to deliver production-ready solutions.

Design, operate, and evolve ElastixAI's Kubernetes and multi-cloud inference infrastructure. Run accelerated ML workloads at scale, build deployment and automation tooling, harden AWS/GCP/on-prem systems, partner with ML/runtime teams to productionize models, optimize costs and reliability, and participate in on-call rotation.

Design and implement IR transformations, graph optimizations, kernel lowering, and code generation for novel hardware. Decompose LLM/transformer workloads into primitives, build performance models and profiling tools, collaborate with ML and hardware teams, prototype end-to-end improvements from framework passes to custom kernels, and shape system architecture for an inference engine.

The Senior Software Engineer will develop AI/ML systems for debugging in production environments, integrating predictive analytics and issue resolution tools.

The role involves researching AI system architecture, developing performance models, analyzing AI workloads, and guiding design decisions while collaborating across teams.

Seeking a Principal AI System Architect to lead research and design next-gen AI system architectures, optimizing performance for AI workloads with a focus on memory capacity and communication.

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

Develop and maintain AI networking communication frameworks, production benchmarking tools, and automation for large-scale AI training/inference. Enable models in benchmarking infrastructure, analyze end-to-end performance, perform large-scale parameter searches, and collaborate with networking and hardware teams to co-design features and optimize system performance.

Lead architecture and build cloud-native AI web applications integrating LLMs, vector search, real-time data, and Databricks. Design end-to-end solutions, implement RAG pipelines and model serving, develop Python backends with React frontends, enforce CI/CD and testing, and lead cross-functional teams to productionize GenAI features.

Hands-on senior role to design, develop, and support AI, analytics, data engineering, IoT, and intelligent automation solutions. Build scalable data pipelines, API integrations, streaming and operational intelligence platforms, generative AI agents, predictive maintenance models, and Power BI reporting to improve operations, asset performance, and decision-making across the enterprise.

The Junior-Midlevel Developer will build and enhance Dumroo.ai's AI-powered education platform, collaborating on software components, data pipelines, and machine learning features.