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Build enterprise-grade AI-powered web apps and internal SaaS using Next.js, React, TypeScript, and Tailwind; integrate with backend services and cloud infrastructure to deliver interactive AI experiences for Fortune 500 clients.
Build agent-powered AI tools that ground LLMs in real workflows, shipping full-stack features from frontend to distributed backends and LLM integrations.
Drive cross-functional programs for Scale AI’s Physical AI team, aligning engineering and operations to build AI systems that reason and act in the physical world.
Founding engineer at an early-stage data infrastructure startup (clera) in New York, working directly with the CTO to build LLM-powered autonomous agents, a self-serve full-stack web app, and distributed backend services that extract and structure web data at scale. Core work spans AI/agentic systems, high-scale backends, and infrastructure as code.
Recruiter focused on identifying and engaging top STEM students at universities to build HRT's technical talent pipeline through campus outreach and relationship-building.
Customer-facing engineer at an early-stage AI startup who owns end-to-end customer deployments: driving integrations, writing detection logic and evals for AI agents, opening PRs in customer codebases, and feeding learnings back into the product. Core stack is TypeScript plus hands-on production AI agent experience.
First full-time engineer at an early-stage AI startup building tooling that detects AI agent failures and generates patches. You'll own the full loop — ingesting customer conversations, failure detection, patch generation and verification — in an all-TypeScript codebase, while setting the company's engineering culture and standards.
As part of our Sales team, the Expansion Account Executive will have the opportunity to lead Shopmonkey’s customer expansion initiatives in our SMB segment. You are responsible for building relationships with customers…
Designs and builds secure identity infrastructure (authentication, authorization, and access control) for AI-powered enterprise systems, using standards like OAuth, SAML, and OpenFGA.
Build and scale a full-stack Generative AI platform using React/TypeScript frontends and Python backends, integrating LLMs and vector databases for enterprise APIs.
First infrastructure hire at an agentic integration platform, working directly with the CTO to own the integration runtime, agent infrastructure, and observability stack (logs, metrics, tracing) while setting architectural patterns and growing into a leadership role. Core stack includes Kubernetes, Docker, AWS, TypeScript, and PostgreSQL.
Full-stack engineer at an early-stage B2B AI customer support SaaS in Munich, owning end-to-end features and building AI-powered capabilities with OpenAI integrations. Core stack: Next.js, React, TypeScript, PostgreSQL/Firestore, Docker/Kubernetes. On-site 5 days/week; visa sponsorship available.
Build and maintain native iOS/Android apps for a Brazilian digital bank’s Super App, using Swift/SwiftUI or Kotlin/Jetpack, ensuring high availability and low latency.
Full-stack engineer at an early-stage enterprise AI platform in Berlin, owning features end-to-end: backend APIs and database design on Node.js, plus frontend integration with React/Next.js and Tailwind, to help organizations roll out AI safely and at scale.
Platform Engineer owning the reliability, scale, performance, and developer experience of core infrastructure at an AI startup. Day to day: build and run AWS infrastructure (Terraform, Kubernetes/EKS, Docker), CI/CD pipelines, observability and on-call, plus backend platform systems and internal tooling.
Program manager for iPhone hardware teams, coordinating electrical/mechanical engineers and suppliers to deliver PCB and flex-PCB subsystems using Apple’s product development process.
Designs and implements large-scale data solutions for global enterprises using cloud platforms like Snowflake, AWS, and Azure, while leading teams and advising clients on modern data engineering practices.
Leads data engineering strategy and delivery for enterprise clients as a trusted advisor, combining hands-on architecture with business growth and team leadership.
Designs and leads large-scale cloud data platforms for enterprises using Snowflake, AWS, and Azure, while mentoring teams and optimizing data workflows.
Principal Solution Architect designs, operates, and improves cloud-native data platforms for enterprise clients, focusing on Snowflake, AWS/Azure, and modern data stacks.
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