Top AI Engineer Jobs

Lead Software Engineer responsible for architecting and building AI-native identity management and authentication systems, ensuring scalable and secure solutions.

The Execution Engineer will build AI-enabled delivery workflows and applications, using traditional coding and low-code platforms while ensuring strong engineering discipline and collaboration.

As Director of Revenue Strategy and Operations, you'll drive alignment and growth across GTM functions, manage CRO initiatives, and optimize revenue processes, integrating AI tools effectively.

The AI Solutions Engineer at Cook Medical develops production-grade AI systems, collaborating widely, integrating with enterprise data, and ensuring ethical compliance.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

As an AI Product Engineer, you'll design and implement AI companion features, working closely with researchers to create user-centric products from concept to production, iterating based on user feedback.

The role involves onboarding and supporting customers using Inkeep's AI-powered solutions, creating technical resources, and leveraging AI to improve efficiency.

The AI Research Engineer will conduct research in AI, develop algorithms, collaborate with teams, and publish findings. Responsible for advancing AI methodologies in products.

Join Encord as a Senior Full-Stack Engineer to build tools for physical AI data stack, tackle complex problems, and improve AI training data quality.

Architect and develop firmware and microcontroller subsystems for AI infrastructure products, ensuring customer needs are met and firmware features are optimized.

As a Backend Software Engineer, you will design, build, and maintain backend services and APIs for automated knowledge systems, collaborating with cross-functional teams.

Design, build, and run large-scale backend and data infrastructure; productionize and run experiments on AI/ML models; implement MLOps best practices (versioning, monitoring, alerting); improve model accuracy, speed, and cost; and drive engineering process and culture improvements.

Lead design and delivery of enterprise AI knowledge bases, RAG pipelines, and AI-ready data platforms on Azure. Build ingestion, vector/graph models, backend APIs, and ML pipelines; mentor engineers and partner with investment teams to operationalize LLM-driven analytics and ensure governance, observability, and performance.

Lead the design and delivery of cloud-native applications and data platforms, ensuring high-quality software engineering and cloud operations.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

The AI Automation Engineer will design and implement AI-driven automation solutions across various business functions, ensuring efficiency in workflows and collaboration with stakeholders.

The role requires designing and optimizing large scale networks, particularly in AI/HPC, while analyzing performance metrics and enhancing systems for training and inference workloads, including significant travel for buildouts.

As a Software Engineer on ZipX, you will design and build AI-native products, create scalable APIs, and develop intelligent workflows for enterprise procurement, while working closely with AI technologies.

As a System Software Engineer, you will design communication primitives for AI models, optimize performance for training workloads, and benchmark performance on clusters.

Develop, enhance, and maintain applications using Python and SQL within an AI/ML pipeline while leading infrastructure changes and supporting deployments.

As a Senior Software Engineer, you'll architect and build software systems for AI-enhanced robotic solutions, ensuring efficient deployment and integration in real-world settings. You'll leverage AI tools to enhance productivity, work collaboratively with engineering teams, and gain firsthand experience seeing your contributions in action.

Design, implement, and optimize Ambiq's embedded AI runtimes and operator libraries for on-device inference. Build profiling, benchmarking, and regression tests; optimize latency, memory, and energy on constrained hardware; support customer integrations across bare metal and RTOS toolchains; and maintain docs, tooling, and upstream/fork health.