Top AI Engineer Jobs

Design and implement test automation for instrument software, data pipelines, cloud analytics, and AI/ML outputs. Build data validation frameworks, schema and pipeline checks, integrate tests into CI/CD, validate ELN/LIMS interoperability, ensure traceability and regulatory Quality System compliance, and contribute to test solution architecture and orchestration.

As an AI Engineer, you'll develop AI-powered systems that allow human-machine interaction through voice, focusing on data-driven insights and real-world audio processing.

The Senior Machine Learning Engineer will automate healthcare compliance workflows using AI to process unstructured data, build multimodal AI pipelines, and develop extraction systems, ensuring high reliability and operational efficiency.

As an AI Research Engineer, you'll focus on enhancing AI quality, improving models and orchestration, and solving complex AI problems in healthcare billing.

Support CBP stakeholders to identify AI opportunities, design and refine prompts and AI-enabled workflows, prototype and validate AI outputs, train users, document use cases, and coordinate deployment and integration efforts to improve operational efficiency.

As a Platform Engineer, you will enhance reliability and performance, design operational processes, and build monitoring systems while collaborating with a talented team.

Join a passionate team to enhance reliability and performance of the AI control plane, manage deployments, and respond to production incidents while ensuring service quality for customers.

The role involves owning product decisions, collaborating on AI control products, and ensuring secure access while improving user experiences across the stack.

The Software Engineer will design and build foundational AI systems, focusing on context management and model integration for Harvey's products, while collaborating with product teams.

Own end-to-end customer deployments of applied AI agents: scope integrations, configure and tune playbook/signals/automation/voice agents, run demos and trainings, partner with account executives, and drive product feedback and expansion across enterprise customers.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

Design and build AI-enabled helpdesks and contact centers: implement agentic AI that plans and interacts, develop configurable front- and back-end systems, and solve customer problems with modern full-stack tools.

As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.

The role involves building and deploying AI-native data solutions, focusing on LLM and agent development, automation workflows, and data analysis, while leveraging cloud technologies.

Implement AI powered workflows and applications, design novel AI architectures, and build evaluation pipelines for internal and customer-facing products.

As a Senior AI/ML Platform Engineer, you will architect and scale the ML platform, ensuring efficient ML workflows and collaborating with various teams to drive AI adoption.

The role involves developing partnerships with ISVs delivering AgentOps services, managing technical engagement, and collaborating with teams for product integration and strategy.

Lead development of AI-driven solutions for timing and constraint analysis in EDA, integrating data sources and creating autonomous analysis agents.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

Responsible for developing machine learning capabilities, partnering with Data Scientists, and enhancing customer experiences through AI solutions.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

As a Senior Software Product Engineer, you will enhance compliance solutions through advanced software development, performance optimization, and team collaboration to ensure high-quality outcomes and user experience.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The AI Research Scientist will develop and evaluate generative models for scientific data, collaborate with teams to apply AI in materials science, and mentor junior members while staying current in the field.

Build production-grade AI applications by translating business workflows into scalable, governed systems. Design multi-step agent-based AI workflows, integrate LLMs with enterprise data and systems, use centralized platform services (identity, orchestration, logging), apply governance and secure coding, and deliver auditable, enterprise-scale solutions quickly.