Top Artificial Intelligence Jobs

Lead and manage a small engineering team while remaining hands-on: build and ship scalable production systems for applied AI, drive execution, recruit and mentor engineers, and collaborate across ops, domain experts, and customers.

Design and build full‑stack data capture workflows (Next.js web, Python desktop), architect high‑throughput data pipelines with low latency, collaborate on product strategy, ship features rapidly, and establish engineering best practices for team growth.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Lead client-facing presales and enterprise architecture for data modernization and AI adoption. Design cloud-native data platforms and advanced AI/ML solutions (Agentic AI, RAG, vector DBs), provide hands-on technical execution, guide global delivery teams, ensure governance and secure integrations across Azure/AWS/GCP, and contribute to internal R&D and presales strategy.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

Design and implement algorithms for packing and allocation in logistics, ensuring operational feasibility. Manage data and integrate solutions into workflows.

The AI Software Engineer will develop and deploy AI-powered solutions, build MLOps pipelines, integrate data sources, and ensure model performance in a logistics context.

As an AI Engineer, you will design and implement systems that enforce feasibility and authority in logistics decision-making, ensuring compliance with command policies. You will work on integrating AI reasoning with execution workflows, handling data validation, and improving the decision-making framework.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

The AI Engineer will build AI and computer vision systems for food waste management, focusing on model training, evaluation, and product feature integration.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Lifecycle Marketing Manager will enhance user engagement through email, SMS, and push notifications, develop lifecycle strategies, and optimize campaigns to improve retention rates.

The Senior Customer AI Engineer will support enterprise customers' AI Marketing efforts, focusing on integrations, technical solutions, and optimizing customer outcomes while maintaining effective communication across teams.

The AI Engineer will develop innovative products using AI to enhance insurance operations by leveraging LLMs and structured data extraction.

Lead technical architecture and direction for complex AI/ML systems, mentor engineers, and drive innovation in applied AI at GEICO.

The Senior Staff Engineer at GEICO will lead engineering teams to develop AI-powered solutions, ensuring high-quality systems and driving innovation in a fast-paced environment.

The Senior Manager, Organic Growth & AI Search will lead SEO, AI search optimization, and conversion strategies, working closely with various teams to enhance organic growth and track performance metrics while executing strategies hands-on.

Develops and maintains application software and system components; monitors and administers applications; provides technical and application support; ensures data integrity and security; may work with vendor software and manage small projects.

Design, integrate, and deploy AI/ML systems for defense products: develop inference services, data pipelines, model evaluation and robustness testing, prototype to production, and optimize edge/GPU deployments while collaborating with product and mission teams.

Lead end-to-end delivery of AI and data projects by defining scope, timelines, success metrics, coordinating cross-functional teams, managing sprints and backlogs, mitigating risks around data/model quality and compliance, tracking KPIs, and ensuring stakeholder alignment and documentation for production deployments.

Build and ship end-to-end product features, debug and resolve production issues, partner with Product on UX and direction, use AI heavily for development and prototyping, and iterate quickly across the stack to improve quality and speed.

Owner of consumer product areas (creation, discovery, feed, sharing, retention). Turn ambiguous user problems into hypotheses, define metrics, analyze funnels/engagement, work with engineering/design/data to ship experiments, and use AI tools to accelerate research, analysis, prototyping, and execution in a fast startup environment.

The role involves building AI-driven e-commerce systems, managing Shopify operations, integrating with NetSuite, and driving revenue through innovative marketing automation.

Design, build, and ship end-to-end AI features: implement multi-step agentic flows with LangChain/LangGraph, integrate LLMs, connect to live data sources, deploy and monitor AI services on cloud, and instrument observability. Optionally build React/TypeScript front-end components for streaming AI outputs and co-pilot experiences.