Linkup

Linkup

Founding Forward Deployed Engineer

NYC (NY) or San Francisco (CA) · Staff+

Sponsorship not specifiedDetected 260 days ago
Distributed SystemsRESTMachine LearningAgentic AIAI OrchestrationProduct StrategyOutbound SalesCustomer SuccessCustomer SupportRobotics

About the role

  • Your mission: help leading AI companies, developers, and enterprises integrate Linkup's AI-ready search APIs into their products - and shape how the next generation of AI agents connects to the web.

Responsibilities

  • Participate in pre-sales efforts - technical discovery, proof-of-concept design, demo environments.
  • Collaborate cross-functionally with backend, ML, and product teams to ensure performance and reliability at scale.
  • Partner with the GTM Engineer and DevRel team to turn customer learnings into automation, tutorials, and playbooks.
  • Identify and implement technical integrations with our other partners ****in the value chain (workflow orchestration, AI frameworks, etc.)
  • Every integration you build helps define how AI systems connect to live, trusted information.
  • If you love blending engineering with impact - building things users actually depend on - this role is for you.
  • 4+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience.
  • These digital entities can create more value for humanity than we ever could alone, but they depend on the internet to operate, collaborate, take action, and gather information.
  • To perform well, they require information that is current, reliable, and context‑specific-not the diffuse, steadily aging knowledge frozen at their last training cut‑off.
  • This foundation delivers verified facts and rich context to AI instantly, unlocking faster reasoning, higher accuracy, and radically more useful answers for everyone.

Requirements

  • Search for AI must be rebuilt from the ground up.

Skills

  • Understand web infrastructure, distributed systems, or retrieval pipelines.
  • Are comfortable debugging integrations and solving ambiguous technical challenges in customer environments.
  • Communicate clearly and empathetically with both technical and business audiences.
  • Are curious about AI infrastructure, retrieval, and the emerging agentic ecosystem.
  • Thrive in a fast-paced, high-ownership startup environment.
  • Identify recurring customer needs that can become productized templates or automation.

Company info

  • Mission. We believe we play a critical role in building the agentic web. We are 100% committed to our mission of bringing the reality of the world to AI agents.
  • Speed. We build fast, we build to last. We get things done, well.
  • Ownership. We empower every team member to take ownership of their projects, ensuring they see them through to successful completion.
  • Teamwork. Our strength lies in our unity. We rely on one another and embrace our diversity as a core asset.
  • Humility. We maintain low egos, showing respect for others and continuously learning from their insights and experiences.
  • Reality never stands still, and neither should intelligence.
  • Linkup reconnects language models to a living stream of verified facts, ensuring AIs remain as current and insightful as the world they serve.
  • Our culture is built on the following values:
  • We expect all team member to take an active role in shaping our company culture.
  • We are small technical team, working shoulder to shoulder to build the web of agents.
  • A bit more about our 3 co-founders:
  • Philippe Mizrahi https://www.linkedin.com/in/philippe-mizrahi/- Led the development of Lyft's Autonomous Vehicles marketplace. Previously launched Amundsen https://www.amundsen.io/, an open source search engine.
  • Denis Charrier https://www.linkedin.com/in/denis-charrier/- Founding Engineer at Niland, an audio search company (acquired by Spotify), then Staff Engineer at Spotify. 15y of software development experience.

This listing is sourced directly from Linkup's careers page and normalized into a canonical job model.