Top AI Engineer Jobs

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

The Azure Cloud Engineer will design, implement, and maintain Azure solutions, govern AI platforms, and manage infrastructure automation and deployment workflows. Responsibilities include over-seeing cloud architecture, building CI/CD pipelines, and ensuring compliance with security standards while mentoring teammates in cloud infrastructure best practices.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Software Engineer will design and develop software solutions for advanced Agentic AI capabilities, focusing on autonomy and multi-agent collaboration while managing the software development lifecycle in an Agile environment.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

As a Staff Backend Software Engineer on the AI Platform team, you will build infrastructure for AI applications, improve distributed AI workloads, and collaborate with various teams to enhance developer and data scientist experiences.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

Architect, build, and operate cloud and on‑prem AI/ML training and inference platforms (including federated learning). Partner with scientists and external collaborators, benchmark and optimize ML infrastructure, ensure security/compliance and cost effectiveness, mentor engineers, and represent the Institute in vendor and cross‑institutional technical engagements.

Design, build, and deploy production ML models (time series forecasting and NLP). Perform EDA, feature engineering, model evaluation, and translate business problems into ML solutions. Maintain production model-serving pipelines and collaborate across teams to deliver scalable data-driven systems.

Develop, deploy, and own RTL-to-GDSII physical design methodology and CAD flows for IP delivery. Automate PPA exploration, document flows, partner with design teams and EDA vendors, qualify new nodes/PDKs and EDA releases, and apply ML/LLMs where they improve flow optimization and scalability.

Design and validate high-bandwidth interconnects for AI clusters across copper and optical media. Define architectures, perform link and channel budget analysis, lead qualification and reliability testing, develop validation plans for transceivers and cables up to 1.6T, and coordinate with suppliers and manufacturing.

Design, build, and operate enterprise AI platform capabilities including RAG, agentic architectures, vector DB integrations, Bedrock-based model services, AI Gateway governance, observability, security, and developer APIs. Collaborate with security, data, and application teams to ensure scalable, compliant, and cost-optimized AI deployments and operational excellence.

Design and implement AI-native workflow orchestration and automation systems for legal service delivery. Build integrations between AI platforms, CRMs, document systems, client portals, and payment systems; implement retrieval, prompt orchestration, event-driven pipelines, and observability. Monitor reliability, troubleshoot bottlenecks, support compliance and governance, and document architectures while evaluating emerging automation tools.

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and operational tools; develop event-driven pipelines, retrieval and prompt orchestration, monitoring, and compliance controls. Collaborate with legal, product, and engineering teams to translate legal workflows into scalable, secure architectures and troubleshoot production issues.

Early-career software engineer who writes Python to integrate LLMs and AI services into AWS-hosted applications. Build APIs, data pipelines, embeddings/vector search, and support deployment, testing, and monitoring of AI features while following responsible AI and software engineering best practices.

Design, implement, test, and support highly reliable real-time software for gateways, satellites, user terminals, and switches in a high-capacity satellite network. Lead architecture and code reviews, build prototypes, develop tooling for deployment, data analysis, and testing across virtualized, hardware-in-the-loop, and on-orbit environments, and maintain CI/release systems.

Design, implement, and deploy embedded guidance, navigation, and control systems for satellites including actuators, attitude control, state estimation, and fluid/power system controls. Build and maintain high-fidelity simulations (C++, Python, MATLAB), implement production firmware/software (C++), support hardware sizing, testing, flight software bringup, and fleet performance monitoring.

Design and build systems that automate and accelerate research workflows: evaluations, data and evaluation flywheels, agent harnesses, RL environments, experiment orchestration, sandboxed runtimes, integrations with research infrastructure, and metrics to measure research productivity and safety.

Design, build, and deliver enterprise AI solutions using LLMs, cloud platforms, and container orchestration. Own end-to-end delivery, partner with stakeholders, coach junior engineers, and produce production-ready integrations, prototypes, and automations.

Design, train, deploy, and monitor ML/AI models and MLOps pipelines (including NLP, LLM, RAG, generative AI). Optimize performance, integrate models into applications/APIs, ensure security, documentation, and collaboration with engineers, analysts, and SMEs for federal missions.

Develop and operate Digital Twin infrastructure and AI-assisted systems engineering tools. Build multi-fidelity FMU plant models and FMI co-simulations, deploy LLM-based pipelines (RAG, semantic search) integrated with GitLab CI/CD, and perform hands-on systems engineering, requirements authoring, safety analyses, and model correlation with vehicle and fleet data.

Design, build, deploy, and maintain internal and guest-facing systems across hotels and restaurants. Build integrations, automations, and websites; manage identity, deployments, networking, and monitoring; use AI-assisted tools to accelerate delivery. Produce documentation, simplify systems, and partner with leadership on long-term technology strategy.

The AI-Native Technical Support Engineer will handle customer support for NavPro, using AI tools to resolve issues, document incidents, and improve support workflows. Responsibilities include diagnosing technical issues, escalating to engineering when necessary, and maintaining a knowledge base.

As a Staff AI Software Engineer at PromptQL, you'll lead the development of AI systems, design architecture, and optimize performance while shaping the direction of AI technology in enterprises.