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Build and maintain responsive React frontends and integrate generative AI APIs (e.g., Anthropic’s Claude) into web apps for enterprise clients across finance, healthcare, and manufacturing.
Harvey, an applied-AI company for legal and professional services, is hiring a Global Operations Program Manager in People Ops to run complex cross-functional programs end to end — new entity formation, geographic expansion, M&A integrations, and payroll/EOR vendor transitions — coordinating People, Finance, Legal, Tax, and IT. Requires 7+ years of program leadership and strong AI fluency.
At Harvey (agentic AI for legal and professional services), this San Francisco-based Global Operations Program Manager runs complex cross-functional People Ops programs end-to-end — new entity and market expansion, M&A integrations, and EOR/vendor/payroll transitions — coordinating People, Finance, Legal, Tax, and IT.
Build Android apps for military drone control, integrating real-time sensor data, mapping, and secure comms using Jetpack Compose, Kotlin, and backend services in C++/Rust/Golang.
The Senior ML Engineer will develop and deploy surrogate models to accelerate physics simulations for autonomous air vehicle design. This role involves building training infrastructure, optimizing inference for engineering workflows, and collaborating with domain experts to integrate AI into hardware development.
The Agentic AI Engineer will build and deploy multi-agent pipelines to automate complex engineering workflows and integrate AI agents with classical engineering software. The role focuses on compressing design loops for autonomous air vehicles using Python, MATLAB, and various orchestration and data pipeline technologies.
Integrate hardware and software onto unmanned vehicles, rapidly prototype autonomous systems, and run tests to validate performance and reliability.
Owns complex global People Operations programs end-to-end at Harvey — new entity formation and market expansion, M&A integrations, EOR/vendor transitions, and payroll migrations — coordinating People, Finance, Legal, Tax, and IT teams. A hands-on program management role requiring 7+ years of cross-functional program leadership and strong AI fluency.
Designs and extends AI agents/skills for development workflows (e.g., test generation, code review, CI feedback) to improve productivity and reduce friction in engineering processes.
Build and maintain Later’s cloud infrastructure, Kubernetes clusters, and MLOps pipelines to deploy AI models reliably using AWS, Terraform, and CI/CD tools.
Site Reliability Engineer at The Voleon Group (an AI/ML-driven investment manager) in London, working at the intersection of production operations and software development: improving and monitoring production-critical trading systems and data pipelines, debugging Python code, automating workflows, and sharing an on-call rotation. Core stack includes Python, Linux, and SQL, with exposure to tools l
Designs and deploys large-scale AI/ML workloads on GPU cloud infrastructure, advising key customers and optimizing performance while collaborating with sales and product teams.
Define Zenity’s product strategy for AI agent security integrations with major tech partners, shaping joint solutions and influencing roadmaps to secure AI agents at enterprise scale.
Senior/Staff Data Engineer owning and evolving the data platform (ETL/ELT pipelines, data warehouse, data quality) for Cerebras, an AI chip company. Day-to-day involves building production data pipelines in Python and SQL on cloud infrastructure (AWS/GCP/Azure) while partnering with analytics and engineering stakeholders.
Senior Full Stack Developer building an AI‑powered conversation platform, creating responsive React front‑ends and Python/Django back‑ends while collaborating with product and design teams to deliver high‑performance web features.
Build and maintain Python-based infrastructure for deep learning experiments, including cloud resources, databases, and visualization tools on Azure.
Designs, builds, and deploys production-grade AI systems and ML pipelines, focusing on scalable implementations and collaboration with cross-functional teams.
Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
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