Top AI Engineer Jobs

As a Staff AI Engineer, you'll own the architecture of AI pipelines, lead technical projects, mentor engineers, and influence product development in cybersecurity.

The Senior AI Engineer will create systems to manage cybersecurity alerts using AI, designing and implementing production pipelines and retrieval systems, while ensuring clear decision-making in security contexts.

The Senior AI Developer Relations Engineer will engage with the developer community, create high-quality content about You.com's search APIs, and grow audience awareness through various interactions and collaborations.

As a Staff Backend AI Engineer, you will design and operate backend AI systems for Arbiter's care orchestration platform, ensuring reliability, low latency, and scalability while collaborating across teams and mentoring junior engineers.

The Senior AI Engineer will develop and implement AI systems and archetypes for BioShock 4, collaborating across multiple teams while maintaining performance and quality standards.

Design and operationalize AI systems on Google Cloud for defense programs, leading the delivery of secure AI/ML solutions and mentoring engineering teams.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

Lead the development and implementation of applications systems, coordinate teams, provide technical expertise, and resolve complex business problems, particularly in the financial services sector.

Design and build an AI platform to resolve insurance claim denials, develop AI agents for workflows, and improve system performance. Collaborate closely with billing managers to understand workflows and contribute to the team's AI/ML vision.

As a Forward Deployed AI Engineer, you will integrate Latent Labs' AI models with pharmaceutical clients' workflows, focusing on tech deployment, customer advocacy, and collaborative feedback for product improvement.

The Agentic AI Engineer will design and build customized AI agent solutions tailored to client needs, manage full delivery, and ensure production quality.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

Responsible for designing and delivering multi-agent systems for AI products, collaborating with data scientists and offshore teams, and writing production-grade Python code.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

The Principal Software Engineer leads the architectural design of a data platform, ensuring isolated and compliant data flows, overseeing AI data lakes, batch and streaming pipelines, and developing service APIs.

The Senior Software Engineer will build and ship AI agents for supply chains, collaborating with customers and developing production systems on top of LLMs. Responsibilities include embedding with customers, architecting data services, and ensuring reliable deployments while contributing to product direction and engineering culture.

Lead the development of Traba's AI agent platform, architect systems, enhance agent evaluation, mentor engineers, and drive product strategy with the CTO.

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

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.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

The AI Research Engineer will design next-generation AI systems, focusing on agent architecture, memory engineering, and performance benchmarking, while translating research to scalable systems.

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

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

As an AI Application Engineer, you will develop scalable AI applications, design system prompts, enhance generative AI capabilities, and ensure responsible deployment of AI systems.