Top Artificial Intelligence Jobs

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

Design, build, and operate end-to-end ELT pipelines that extract structured JSON from complex leasing documents using LLMs. Optimize LLM API calls and prompts, implement validation and monitoring, and collaborate with product and engineering to evolve schemas and ensure production-ready data quality.

The Cybersecurity AI Architect collaborates with cross-functional teams to design secure AI solutions, guides architecture governance, and promotes AI integration in cybersecurity.

As an AI Reliability Engineer, you'll manage production infrastructure, build quality validation tools, and improve AI agent performance across evaluation pipelines and CI/CD.

Design, develop, and implement AI/ML models, manage AI solutions on cloud platforms, and collaborate with teams to optimize models.

The Manager, AI Engineering will lead the development of intelligent voice agents for Taco Bell, focusing on LLMs, orchestration, prompt engineering, and team collaboration.

The Senior Manager will lead a team of Data Scientists and AI Engineers, drive AI and ML strategy, and communicate technical insights to stakeholders.

The AI/ML Lead will design intelligent systems integrating large language models, develop NLP solutions, and create recommendation engines for efficient decision-making in electronic trading.

As a Forward Deployed AI Engineer, you'll architect and deploy AI solutions in diverse environments, ensuring secure and rapid software delivery for defense initiatives while liaising with technical and non-technical stakeholders.

Lead the architecture and implementation of product features, manage a team, and collaborate with stakeholders while ensuring high engineering standards.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

AI Residents will develop machine learning algorithms, engage in research, and collaborate with quantitative teams to drive innovation in finance.

Build and deploy production AI systems for agricultural clients: write Python and SQL production code, develop pipelines, models, agents and dashboards, manage data transformations and quality checks, and own features from concept through deployment.

Lead AI strategy and engineering engagements, identify growth opportunities, design solutions, and manage client relationships effectively.

As an AI Engineering Intern, you'll work on core AI systems for claims decision support, experimenting with models and building evaluation tools.

The Associate Communications Director will lead communications strategies for AI-sector clients, manage teams, build client relationships, and innovate solutions in a collaborative environment.

Deploy and configure CRMs, project management systems, automation workflows, data pipelines, analytics dashboards and AI solutions for US law firms. Diagnose operational bottlenecks, gather requirements, train clients, manage adoption, and own end-to-end implementations across multiple concurrent engagements.

Lead the development and validation of AI/ML tools for warranty analytics and quality improvement. Requires collaboration across teams and mentoring of junior engineers.

Lead research and product development of document understanding and multimodal AI. Design and evaluate VLMs, RAG and retrieval systems; build benchmarks and datasets; ship production-ready components (table extraction, structure parsing, semantic indexing, multimodal QA); and work with engineering, product, and customers to deploy models and agentic workflows at scale.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

The role involves building AI-powered workflows, creating demos, prompt engineering at scale, and developing internal tools to support sales and marketing efforts.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The role involves modernizing a .NET Azure application, focusing on performance and scalability while integrating AI development tools and mentoring junior developers.

As a Data Engineer, you will design and operate data systems, build production data pipelines, and work directly with customers to meet their needs.

This role involves leading the AI product portfolio, shipping AI solutions, defining product strategy, and collaborating with engineering on production systems.