Top AI Engineer Jobs

Lead AI operations engineering to design, build, and scale OCI-based GenAI infrastructure and MLOps pipelines. Architect hybrid GPU deployments, automate training-to-inference workflows, deploy multimodal LLM services, ensure HIPAA-compliant AI systems, drive OCI-focused R&D, and mentor junior engineers.

Build and deploy agentic, multi-step AI workflows and reusable agent skills; generate production AI images; use AI coding tools daily; develop API integrations (Google Workspace, Notion, Slack, Workable); own projects end-to-end including logging, error handling, and monitoring.

Design and build fault-tolerant, distributed infrastructure for AI agents (memory, state, execution). Own architecture, deploy production services, create observability/eval tooling, collaborate on compliance workflows, improve performance and reliability, and mentor engineers.

Design, build, evaluate, and operate AI-powered systems including LLM orchestration, retrieval/RAG, embeddings, and vector search. Develop scalable backend services, APIs, data pipelines, and evaluation frameworks. Improve observability, reliability, and performance of AI workflows while collaborating with frontend, data, and product teams to deliver conversational analytics and natural-language-driven features.

Design and scale the infrastructure for Fury's AI model training and deployment, ensuring efficient data pipelines and collaboration with AI teams.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

As an AI Engineer, you will develop AI security capabilities, integrate features for vulnerability detection, and maintain APIs for secure interactions while collaborating across teams.

As a Staff Software Engineer in Applied AI, you will architect AI systems for vulnerability detection, collaborate across teams, and improve AI model performance.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

As a Senior Software Engineer for Applied AI, you'll develop AI security capabilities, integrate AI models, and improve security workflows within HackerOne's platform while collaborating across teams.

The Senior Azure AI / .NET Engineer is responsible for developing AI-driven backend solutions using Azure services for commercial insurance applications. Tasks include API development, Infrastructure-as-Code, and ensuring compliance and security standards.

The AI Driven Verification CAD Engineer will develop AI frameworks, innovate verification methodologies, and integrate AI tools to enhance ASIC design productivity while supporting global engineering teams.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

As an AI Engineer at Extend, you'll build advanced document processing infrastructures and AI product features, impacting customer operations significantly.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

As an AI/ML Engineer, you will develop and optimize machine learning models, collaborate with teams, and enhance mobile app features using AI techniques.

The AI-Native Solution Engineer will manage pre-sales execution for NavPro, focusing on customer demos, solution narratives, and product-market fit. Responsibilities include maintaining demo systems, collaborating with sales, and utilizing AI for efficiencies.

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.

Design and develop machine learning systems for construction robots, including scalable infrastructure, computer vision models, and data analysis for performance improvement.

As an AI Prompt Engineer, you'll develop prompt templates, conduct A/B tests, collaborate with trainers, and maintain prompt libraries for generative AI applications.

The Solutions Engineer - Google AI assesses customer AI needs, delivers security services, collaborates with teams, develops demos, and ensures delivery readiness for Google AI solutions.

The role involves building AI agents for healthcare practices, focusing on reliability, data pipelines, automation, and production systems.

As a Founding Perception Engineer, you will develop 3D perception systems for autonomous machinery, integrating various sensors and leading field testing. This role focuses on real-world applications in construction, addressing challenges unique to harsh environments.

As a Founding Engineer, you'll develop infrastructure for an AI platform, including AI agents, secure systems, and SDKs for integration.

Design and deploy AI agents and workflows, integrate complex solutions into the Beacon platform, and serve as a technical advisor with a focus on business needs.