Top AI Engineer Jobs

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

Lead signal integrity analysis for photonic-electronic systems, collaborating with design teams to optimize high-speed data paths and package stack-ups.

Lead the development of AI-assisted engineering practices and tooling, enhance developer experience, and implement security measures across the engineering team.

As a Business Process Automation Engineer, you'll design low-code solutions using Microsoft Power Platform and AWS tools, enhance workflows with AI, debug technical issues, and collaborate with stakeholders.

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

Design, build, and deploy LLM-powered features and production AI infrastructure (model serving, inference, evaluation, monitoring) that improve underwriting, pricing, and internal tooling. Partner with product, engineering, underwriting, and data teams to deliver end-to-end AI solutions and establish prompt engineering and evaluation best practices.

Develop, maintain, and run automated and manual tests for AI-driven features and integrations. Collaborate with product, development, and data science teams to validate RESTful services, troubleshoot production issues, and produce QA documentation and test artifacts in an Agile environment.

Lead the engineering team at Equi, building full-stack applications and AI-driven systems to support investment workflows. Drive technical decisions and enhance software solutions across departments while eventually leading an engineering team.

Seeking an AI Research Engineer to design AI training protocols, build scalable systems, and collaborate on novel AI infrastructure solutions.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

Responsible for the full lifecycle of AI/machine learning on resource-constrained hardware, including data ingestion, model development, and deployment on embedded devices, while working closely with cross-functional teams.

The Sr. Software Engineer will lead AI product development, integrate AI solutions across workflows, and mentor team members while ensuring system scalability and resilience.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

Lead the design and development of AI solutions and MCP servers, focusing on AWS infrastructure and Python development. Responsibilities include automating processes, managing deployments, and conducting architectural governance.

As an AI Algorithm Developer, you'll design and implement machine learning solutions for semiconductor processing, focusing on predictive models and data analysis.

Design and develop core platform features for synthetic data generation, LLM operations, and agentic workflows. Oversee API design and scalable compute services, enhancing AI model performance for enterprise clients.

As a Senior Software Engineer, you'll build AI features focused on LLMs and RAG systems, collaborating across teams to ensure robust performance.

Fine-tune and optimize LLMs (including multi-modal) for humanoid robots and autonomous vehicles; build scalable training and deployment pipelines; work on model efficiency (quantization, weight sharing), synthetic data generation, and cross-team product alignment.

Lead and mentor teams in developing language model-based AI solutions, ensuring high technical standards, quality implementations, and effective communication with stakeholders.

As a Senior Formal Verification Engineer, you will develop verification strategies and environments for AI SoCs, ensuring the correctness of digital designs through formal verification methods and collaboration with engineering teams.

The AI Solutions Engineer will implement AI innovations across ERP systems, configure AI capabilities, and develop custom AI solutions for HR, finance, and procurement, utilizing cloud engineering expertise.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

Lead planning, design, development, and testing of AI products; partner with stakeholders to translate business needs; mentor and enhance development capabilities.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.