Top AI Engineer Jobs

The Full Stack Gen AI Engineer will build high-performance API services, implement Generative AI architectures, and manage AWS infrastructure and DevOps workflows.

The AI Engineer will design and deliver AI systems, focusing on LLM and Generative AI solutions, integrating models, and ensuring compliance with security constraints.

Develop AI agents leveraging large language models, integrate external tools, and ensure production-ready AI features while collaborating across teams.

As an Applied AI Engineer, you'll automate MLOps pipelines using ML components and foundation models, ensuring deployment across robots in healthcare settings with rigorous performance measures and regulatory compliance.

Serve as the senior client-facing technical lead to design and build data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders, diagnose data needs, architect multi-stage automated solutions (RAG, agentic workflows, synthetic data), run experiments, deliver production-ready pipelines, mentor engineers, and own delivery timelines and commercial outcomes.

Develop machine learning and generative AI methods to optimize chip layout for performance, power, and area. Automate physical design, verification, and exploratory PDK generation; build benchmarking, modeling, and QA systems; and evaluate advanced device architectures and process technologies for sub-2nm nodes. Collaborate with global R&D organizations and research consortia, transfer technology to Samsung’s Korea-based development teams, and guide cross-functional technical initiatives.

Join the founding team to build a superhuman AI web-agent, scale infrastructure for distributed reinforcement learning, and collaborate with product engineers.

As an AI Engineer, you will design, train, and deploy machine learning models, build data pipelines, and integrate models into production systems while collaborating with the engineering team on advanced AI solutions.

Join the AI technical staff to scale infrastructure for multimodal LLMs, optimizing performance and building a superhuman web-agent while collaborating with product engineers.

Design and implement a self-learning system for autonomous trading agents, automate strategy generation, and build model hosting infrastructure.

Build and ship AI-native systems for a fintech app: AI agents, RAG/retrieval systems, tool-calling and automation for onboarding, KYC, support, risk, CRM and operations. Work with product and engineering to design reliable, low-hallucination, cost- and latency-aware solutions and turn manual processes into scalable AI-enabled systems.

Design, develop, and maintain LLM orchestration frameworks, RAG systems, and automated testing pipelines. Build data preprocessing and vectorization pipelines, and database solutions for artifact storage and metadata. Integrate static analyzers, fine-tune LLMs for vulnerability identification, deploy AI tools in secure enclaves, perform performance profiling and scalability analysis, and support security assessments and ATO processes.

The Staff AI Engineer will build and scale the AI Agent platform, enabling high-volume conversational workflows and managing complex customer interactions across multiple channels.

The Staff AI Engineer will build and scale an AI Agent platform for managing customer interactions, focusing on high-volume, real-time workflows and system performance improvement.

In this role, you will design and develop AI-native applications, managing the lifecycle of high-scale AI systems using LLMs and generative AI to enhance customer experiences.

Partner-facing engineer who designs, builds, evaluates, debugs, and launches high-utility plugins for ChatGPT and Codex. Own partner technical journeys, write prototypes and production code, review architectures for security/privacy/reliability, run evaluations, and improve platform APIs, SDKs, docs, and tooling to support smooth launches and ongoing maintenance.

Early-career Data & AI Engineer supporting client work and applied R&D. Prepare, clean, and validate heterogeneous data; build reproducible Python/SQL workflows; support ML and generative-AI tasks (embeddings, RAG, evaluation); prototype tools; document assumptions; participate in code review and translate project lessons into reusable assets.

Own the technical vision and system architecture for Digit’s safety-critical perception systems in dynamic environments. Lead architectural tradeoffs across sensing, ML models, redundancy, latency, compute, and robustness. Define verification and validation standards, support safety cases and hazard analysis, evaluate emerging technologies, and collaborate with navigation, controls, hardware, and safety teams. Mentor senior engineers and represent perception architecture to executives, customers, regulators, and partners.

Develop and evaluate AI/ML-driven automation for ASIC and VLSI design and implementation. Explore GenAI, reinforcement learning, graph neural networks, and convolutional networks to optimize power, performance, area, and quality. Build prototypes, pilot automation on real SoC and IP designs, and collaborate with architecture, design, verification, implementation, academic, and industry teams. Contribute to CAD methodologies, tools, and digital transformation initiatives for advanced automotive processors and microcontrollers.

Partner with Account Executives on technical discovery, solution positioning, demonstrations, RFPs, and proofs of concept. Design and configure AI-native CPQ solutions, including product catalogs, configuration rules, pricing logic, and CRM or ERP integrations. Explain AI behavior and quoting workflows to technical and non-technical audiences. Collaborate with Product, Engineering, Demo, and Forward-Deployed teams while building expertise in applied AI, CPQ, and quote-to-cash technologies.

Conduct research and engineering across computer vision, vision-language models, 3D perception, and physical AI. Build and fine-tune perception and multimodal models, develop perception-to-action policies, curate datasets, design evaluations, run rigorous experiments, and deploy reproducible services using modern AI infrastructure. The role translates published research into prototypes and production-ready modules for robotics, simulation, video understanding, and embodied intelligence.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Build and maintain production internal tools, web applications, integrations, AI agents, MCP servers, and automation systems across Finance, Accounting, Legal, People, Recruiting, and Sales. Own projects end to end, automate billing and revenue processes, integrate internal systems with ERP and Salesforce, enable business users to create automations, and measure business impact.

Lead applied AI research from literature review and foundational research through proof-of-concept development and production deployment. Design and evaluate machine learning, deep learning, reinforcement learning, NLP, computer vision, and prediction models for business-critical challenges. Provide technical leadership, mentorship, strategic direction, and cross-functional collaboration while driving innovation and translating research into measurable business impact.

Lead the architecture and technical strategy of Stord’s AI platform while building agent orchestration, tool systems, prompt management, integrations, and stateful edge services. Ship reliable LLM-powered features, guide AI-assisted development, establish engineering quality standards, mentor engineers, manage technical risks, and collaborate with product, data science, ML, and engineering teams.