Top AI Engineer Jobs

The Senior AI Software Engineer will design scalable services for AI-driven applications, develop APIs, optimize data pipelines, and ensure system reliability, collaborating with cross-functional teams on edge and cloud AI integration.

The role involves designing and developing scalable services for AI workloads, integrating AI with edge devices, and implementing security best practices. A strong background in backend development and LLM integration is essential.

Lead the development of AI/ML deployment infrastructure, collaborate with engineers, develop pipelines, manage teams, and enhance data applications.

Develop AI/ML models for 3D simulation and geology prediction, refine data pipelines, and integrate deep learning tech with product backend.

Design and prototype algorithms for machine learning and reinforcement learning in robotics, focusing on practical problem-solving and real-world application.

The AI Product Engineer will design and implement Agentic AI platforms for Financial Services, engaging directly with clients to define use cases and leading the full SDLC for deployment.

Design, build, and operate end-to-end training and inference infrastructure for large language and multimodal models. Improve efficiency (memory, parallelism, kernel optimizations), ensure robust scalable training and RL pipelines, optimize low-latency/high-throughput serving (quantization, caching, speculative decoding), manage multi-GPU and multi-cloud orchestration, and productionize new algorithms with strong observability and reproducibility.

Lead full-stack development in AI-native solutions, design responsive features, ensure system quality, and collaborate on product iterations.

As a Senior Product Engineer, you will own end-to-end feature development on customer-facing products, make product decisions, and work closely with a collaborative team.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

Hands-on role to identify supply chain and manufacturing inefficiencies, design and deploy AI-driven automation, build integrated production solutions across ERP and operational systems, operationalize ML models and data pipelines, monitor performance, and collaborate with operations to reduce cost and cycle time through measurable KPIs.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The IT AI Innovation Engineer designs and maintains AI-driven software systems to enhance legal practice efficiency and operations, collaborating with various teams and ensuring compliance with development practices.

The Cloud & AI Infrastructure Engineer designs and optimizes Azure infrastructure, develops CI/CD pipelines, and ensures reliability and security for AI applications.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

This role involves owning aspects of data lifecycle for Auger's Supply Chain operating system, including schema design and data processing using AI and SQL.

Design and implement production-grade AI features to enhance recruiting efficiency, utilizing AI/ML technologies for intelligent candidate search and insights extraction.

As a Senior Software Engineer at Gem, you'll work on AI-driven recruitment models, refine data flows, integrate LLMs, and enhance user experiences across the platform.

The AI Lead Engineer will create AI tools, partner across teams to build scalable solutions, and ensure responsible AI practices while measuring business impact.

As a Site Reliability Engineer for AI platform, you will ensure system reliability, develop automation, manage infrastructure, and evaluate new technologies.

As an AI QA & Infrastructure Engineer, you'll design and execute test plans, maintain testing environments, track quality metrics, and improve QA processes for Aidaly's products.

The Lead AI/ML Engineer will oversee the design, development, and deployment of AI solutions, manage cross-functional teams, and ensure system reliability and performance in mission-critical environments.

Design, prototype, and integrate generative AI solutions and agents across products. Collaborate with cross-functional teams to deploy, test, and optimize AI workflows, educate developers, and engage with the enterprise systems management community through webinars and content.

Design and implement AI-native frameworks, optimize performance for deep learning models, and ensure high-quality software development using modern C++ and AI tools.