Top AI Engineer Jobs

Design, build, and deploy production-ready agentic AI and multi-agent systems to automate enterprise workflows. Integrate agents with enterprise platforms (APIs, OAuth2, webhooks), prototype solutions, implement guardrails and observability, and deliver scalable automation primarily for marketing operations. Collaborate with clients and cross-functional teams, provide technical leadership, and produce reusable integration and orchestration patterns.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Design, build, and deploy ML models (NLP, time-series, event detection) and LLM-driven systems; develop low-latency model serving, inference pipelines, CI/CD, monitoring, and retraining on AWS; collaborate with data engineers to produce training datasets, feature stores, and scalable production microservices in Python and Go.

Design and implement hardened Kubernetes integrations and automation pipelines for hybrid-cloud AI workloads. Provide operational support, troubleshoot production systems, collaborate with customers and engineering teams, and contribute to open-source projects to scale AI infrastructure.

Lead design, development, and production deployment of intelligent agent systems that plan and execute tasks autonomously. Build scalable architectures, integrate ML/LLM models, automate workflows, design evaluation metrics, and implement APIs. Collaborate with researchers, data scientists, and engineers, produce technical documentation, and ensure compliance, security, and reliability of agentic solutions across products.

Lead design and delivery of Pave's AI compensation analyst: build production LLM-based agentic systems that reason over compensation data, implement retrieval and evaluation frameworks, drive 0→1 technical initiatives, and align engineering and product to ship autonomous AI features into production.

PowerPay seeks a Software Engineer to manage development tasks from requirements to deployment, focusing on backend services and AWS infrastructure. Responsibilities include writing Python and SQL, utilizing AI tools, maintaining data pipelines, and ensuring communication with stakeholders.

Hands-on staff full‑stack engineer who designs, builds, tests, deploys, and operates frontend and backend systems, integrates LLMs and AI tooling, implements RAG and prompt engineering, drives CI/CD and cloud infrastructure, troubleshoots production issues, and mentors teams to adopt AI‑augmented development practices.

Design, analyze, test, and deliver high-reliability mechanical hardware for a large satellite constellation. Own product lifecycle from concept through high-volume production and on-orbit operation, drive DFM, perform environmental testing, and collaborate on system-level requirements and optimization.

As a Staff Computer Vision AI/ML Engineer, you will lead a team to develop and deploy AI/ML algorithms in remote sensing, including analyzing datasets and training deep learning models.

Lead a small team to research, develop, optimize, and deploy computer vision AI/ML algorithms for remote sensing (EO/SAR) and ATR. Analyze large datasets, research multimodal fusion, train and deploy deep learning models, review literature, produce technical documentation, and mentor junior engineers while interfacing with program leadership and customers.

Lead end-to-end mechanical hardware design for a large-scale satellite constellation, including deployable radiators, large solar arrays, fluid distribution, and high-volume producibility. Drive system requirements, rapid design iteration, testing, DFM, supply chain/product lifecycle, and on-orbit performance. Own delivery from concept through production and launch, ensuring reliability, manufacturability, and cost-effective high-volume production.

Lead architecture and delivery of an internal AI/agent platform used across product teams. Design agent runtimes and SDKs, define release gates (evals, safety, telemetry, AuthX), set standards for prompt management and model selection, partner with product teams to integrate reusable platform capabilities, write and ship production code, and mentor engineers to raise company-wide production quality for agentic systems.

Lead development and deployment of bandit models and large-scale neural networks for monetization. Collaborate cross-functionally, drive product and business decisions, mentor engineers, and ensure scalable, high-quality ML solutions across the ML stack (training, fine-tuning, evaluation, deployment, and monitoring).

Design, train, evaluate, deploy, and monitor large-scale ML systems (LLMs and bandits) for Duolingo Monetization. Collaborate cross-functionally, drive product decisions, mentor engineers, and ensure scalable, high-quality solutions.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

Build and launch full-stack features for Kapwing Studio, design and implement LLM-powered pipelines and generative model prototypes, test and monitor releases, and integrate ML-powered APIs to automate video and visual content editing.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

Own technical and scientific delivery of consumer weather verticals: build data pipelines and production APIs from model output, integrate LLM-driven content generation, collaborate with research scientists for evaluation and operationalization, and shepherd experiments from labs into flagship products while partnering with product, design, and engineering.

Lead technical and scientific delivery of consumer weather verticals: translate model output into data pipelines, APIs, and product integrations; integrate LLM-driven content generation; collaborate with research scientists, product, design, and front-end teams to graduate experiments to flagship products.

Lead design, build, and operate platform-level IAM services across the stack. Define APIs, data models, and orchestration surfaces. Research and deliver Identity-for-AI capabilities and prototypes, collaborate with product and UX, mentor engineers, and support production lifecycle activities using modern AI tooling to accelerate development.

Build and operate IAM capabilities across the Ping platform: design and implement APIs, services, workflows, and orchestration. Research and prototype AI/agent identity solutions, collaborate with product and UX, participate in full lifecycle development, and support production systems while using AI tooling to accelerate engineering work.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

Lead design and deployment of AI-driven predictive maintenance solutions for facilities. Analyze workflows, build/train/deploy ML models, integrate sensor/IoT data, ensure security/compliance in a classified on-site environment, validate models, run stakeholder working sessions, and provide technical documentation and training.