Top AI Engineer Jobs

The role involves leading AI-assisted software engineering in a low-process remote environment, optimizing features, training LLMs, and collaborating on product goals.

The Lead Software Engineer, AI will design and implement AI-driven systems, mentor engineers, drive technical strategy, and ensure compliance with quality and ethical standards.

Contribute to AI-driven tools for optimizing energy operations, integrating ML models, and enhancing forecasting. Develop full-stack applications, collaborate across teams, and support data processing.

The AI Data Engineer at NiCE will support interaction analytics, transforming unstructured customer experience data and collaborating with sales and product teams to enhance analytics solutions.

The Senior AI/ML Platform Engineer will build AI/ML tools and services, contribute to platform design, and ensure usability and performance at scale, while collaborating closely with various teams.

The Senior Principal Enterprise AI Solution Engineer will lead the Enterprise AI Enablement team, partnering with business units, defining requirements, and delivering AI solutions that drive measurable outcomes and product scaling.

Build and scale responsive, data-heavy frontend dashboards and human-in-the-loop interfaces using TypeScript/React. Own product lifecycle from discovery to production, ensure system reliability, collaborate on AI feature integration, and mentor teammates while working closely with founders in San Francisco.

Build and deploy LLM-based chatbots and machine learning models, integrate agents with enterprise databases and APIs, perform data preprocessing and model evaluation, automate data pipelines, and collaborate with internal teams and clients.

The Staff AI/ML Engineer will lead AI product development, ensure system health, and collaborate with teams on product features while maintaining security and compliance.

Design and build AI-driven, agentic automation for cloud infrastructure, CI/CD, incident response, cost optimization, security/compliance, and observability across AWS/GCP/Azure. Modernize legacy systems, leverage LLM-powered assistants for IaC and Kubernetes, and create self-service platforms with automated remediation and human oversight.

The Sr. Software Engineer will lead technical direction, mentor engineers, and collaborate with product and design to develop user-facing AI products.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

The AI Data Engineer will build and manage data pipelines and infrastructure for ML/LLM applications, ensuring data quality and compliance, and collaborating with data scientists and AI teams.

Design, develop, and deploy generative AI and integration solutions for Visa's VAS platform. Build APIs, implement NLP and ML components, modernize platform technology, automate CI/CD, ensure security and reliability, and collaborate with cross-functional teams to deliver scalable, client-focused services.

Build production-ready AI solutions by writing Python code, tuning LLMs and prompts, implementing data pipelines and ETL, integrating APIs, and working directly with clients to ensure successful deployments.

Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Design and implement workflows using large language models to automate processes, lead integration efforts, and evaluate new technologies.

Lead design and scalability of Java-based backend services for a multi-tenant platform. Architect high-throughput, low-latency systems, integrate core data stores, modernize legacy Java components, improve observability and CI/CD, and mentor engineers while driving platform strategy and reliability.

Build and maintain the hybrid-cloud AI platform and internal developer platform: containerize research code, define IaC specs, deploy workflow orchestration, manage vector/graph databases, deploy model serving and cloud AI agents, and collaborate with IT on Kubernetes-based compute and security integrations.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Partner with prospects to assess needs, perform technical discovery, deliver tailored demos and lead POCs/RFIs. Provide strategic AI-powered knowledge solutions, address technical/security questions, and build trusted stakeholder relationships while supporting sales.

Work with sales and partners to demonstrate Snowflake, run proofs-of-concept, design solutions, and close large enterprise deals. Present to technical and executive audiences, collaborate with product and engineering, and maintain deep competitive and industry knowledge.

Lead design and development of Snowflake's Internal Marketplace and Data Collaboration systems. Build secure, highly available distributed platforms, manage data product lifecycle (curation, discovery, governance, policy, publishing, observability), and ensure operational readiness, reliability, and performance.

Build, maintain, monitor, and scale AI products and components. Collaborate with product, architecture, and design leads to deliver reliable services, evaluate technical tradeoffs, and define roadmap. Mentor teammates, work autonomously, and apply engineering and DevOps best practices to ensure software quality and operational excellence.

Lead design and implementation of scalable data pipelines and ML feature flows, own data platform architecture, ensure governance and observability, optimize cloud infrastructure, mentor engineers, and collaborate with product and customer stakeholders to deliver AI-enabled data products.