Top AI Engineer Jobs

The Senior Full-Stack Engineer will build AI applications, manage full-stack development across frontend and backend, and deploy on cloud platforms while collaborating with AI teams.

As a Senior Software Engineer, you will design and deliver scalable software solutions, optimize systems, mentor peers, and contribute to engineering standards in a collaborative environment.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

The AI Platform Production Engineer will automate deployment and management of AI workloads, ensure system reliability, and enhance tooling for production services, leveraging extensive engineering expertise.

The Electrical Hardware Engineer will design electrical solutions, implement test plans, collaborate with partners, and ensure product quality for HPC/AI platforms.

The Electrical Hardware Engineer will design electrical components and systems, develop test plans, and collaborate with partners to create reliable hardware solutions.

The Software Engineer III/Senior role involves building AI Gateway components, enforcing AI traffic policies, and enhancing observability of AI usage. Responsibilities include implementing systems for traffic management, policy design, and user experience improvement within the ngrok platform.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

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.

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.

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.

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 Director will lead the strategy and implementation of a developer platform with an emphasis on AI-driven management of test environments, overseeing operational integrity, compliance, and driving strategic initiatives to enhance developer experience and efficiency.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

The Software Engineer will build and deploy production systems using various technologies, work with AI tools, and own projects in a regulated environment.

Design and manage the voice AI architecture, developing multi-agent systems and real-time audio pipelines to enhance patient interactions and outcomes in healthcare.

The Software Engineer III - Voice AI develops and maintains the Voice AI platform for patient calls, optimizing real-time conversational AI features and mentoring team members.

Design, build, and deploy AI systems, manage the ML lifecycle, collaborate with teams, and advocate for new techniques in machine learning.