Founding Engineer

Cornerstone VC; Remote; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A pioneering tech firm is seeking a Founding Engineer to build continuously learning AI agents. This role involves working directly with customers to transform business challenges into effective solutions and deploying advanced AI applications. The ideal candidate has a Master's or PhD in a related field and a strong coding background in languages like Python or Java. The position offers competitive compensation, meaningful equity, and a remote-friendly environment with a senior team from top tech companies.

Leistungen

Competitive compensation

Meaningful equity

Generous learning budget

Remote-friendly setup

Qualifikationen

• 2+ years as a hands-on IC (data scientist, ML/AI engineer, or software engineer).
• Experience building and deploying LLM/NLP applications.
• Strong foundation in machine learning basics.

Aufgaben

• Work end-to-end with customers, turning ambiguous asks into scoped plans.
• Navigate data processes to show impact of Leeroo Agents.
• Build GenAI applications across enterprise use cases.

Kenntnisse

Problem solving

Clear communication

Machine Learning basics

Coding in Python

Experience in AI-powered products

Ausbildung

Master's/PhD in CS/AI/Data Science or equivalent

Tools

Python

Java

C++

TypeScript/JavaScript

Jobbeschreibung

Founding Engineer

Remote (EU, UK, US) / London • Full-time

About the Role

Leeroo is a YC-backed company building continuously learning AI agents that evolve into expert teammates, with a technical team of researchers and engineers from Meta AI, LinkedIn AI, and EPFL. As a Founding AI Engineer, you'll guide customers through the full lifecycle, from pre‑sales discovery to production rollout and post‑launch iteration, turning real business problems into robust agentic systems. Day to day, you'll work directly with customer stakeholders and engineers to align requirements, unblock data access, and stitch our agents into their enterprise tech stack to deliver production value quickly.

Responsibilities

• Be a customer‑first problem solver: work end‑to‑end with customers, from discovery to delivery, turning ambiguous asks into scoped, shippable plans with clear ROI
• Navigate the messy middle (chasing data owners, mapping processes, wrangling imperfect data/APIs) to show the impact of Leeroo Agents effectively
• Build state‑of‑the‑art GenAI applications across enterprise use cases by connecting our continuous‑learning agents, co‑driving transformation with customers
• Work in a tight loop with Core Research & Product Engineering: surface reusable patterns from real customer work and test usability
• Join pre‑sales and discovery calls to understand needs, shape solution roadmaps, and provide clear technical guidance on Leeroo's approach

Qualifications

• Master's/PhD in CS/AI/Data Science (or equivalent experience)
• 2+ years as a hands‑on IC (data scientist, ML/AI engineer, or software engineer) shipping AI‑powered products
• End‑to‑end experience building and deploying LLM/NLP applications (APIs, back‑end integration; light front‑end when needed)
• Familiarity with agent frameworks, vector databases, and retrieval workflows
• Clear communicator able to translate complex technical ideas for non‑technical stakeholders
• Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)
• Strong coder with demonstrated proficiency in Python, Java, C++, TypeScript/JavaScript, or similar
• Experience as a Customer/Forward‑Deployed Engineer, Sales Engineer, Solutions Architect, or Technical PM (preferred)
• Exposure to privacy, security, and emerging model‑governance practices (e.g., EU AI Act readiness) (preferred)

What We Offer

• Senior, founder‑led team from Meta AI, LinkedIn, and EPFL with fast feedback loops and genuine ownership
• Competitive compensation with meaningful equity, plus high‑end hardware and a generous learning budget
• Remote‑friendly setup, work from anywhere in compatible time zones, with our office based in London

Ready to Apply?

If you're excited about creating AI that learns continuously and autonomously, we'd love to hear from you.