Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading a team defining how stateful AI applications are built at the edge for the hirify.global Vectorize team. Focus on scaling Vectorize to support billions of vectors and improve the developer experience for Retrieval Augmented Generation (RAG) workflows.

Location: Lisbon or London (Hybrid)

Company

hirify.global is on a mission to help build a better Internet by protecting and accelerating any Internet application online.

What you will do

• Lead a group of engineers defining how stateful AI applications are built at the edge.
• Scale Vectorize to support billions of vectors and hundreds of thousands of indexes while maintaining performance and reliability.
• Work closely with product and engineering teams to implement cutting-edge indexing strategies.
• Improve the developer experience for RAG (Retrieval Augmented Generation) workflows.
• Build shared understanding of complex topics like vector quantization, indexing trade-offs, and distributed state.

Requirements

• Strong communication skills – Ability to build a shared understanding of complex topics like vector quantization, indexing trade-offs, and distributed state.
• Leading Distributed Systems – Experience leading and hiring teams that build and operate high-availability distributed databases or search engines.
• Navigating the AI Landscape – Comfort working in the rapidly evolving world of AI/ML, understanding how vector databases fit into the broader LLM and RAG ecosystem.
• Execution & Predictability – Excel at planning, roadmap execution, and managing the lifecycle of a high-growth developer product.
• Developer-First Mindset – Experience building APIs and tools that simplify complex backend operations for frontend and full-stack developers.
• Technical Leadership – A track record of leading teams through hiring, onboarding, and mentorship. You can explain the "why" behind architectural decisions to both engineers and stakeholders.
• Systems Programming – Professional experience with Rust, Go, or TypeScript.

Nice to have

• Search & Indexing Expertise – Experience with vector search libraries (e.g., Faiss, HNSWlib) or traditional search engines (e.g., Elasticsearch, Lucene).
• AI/ML Infrastructure – Experience building or managing platforms that serve machine learning models or manage embeddings at scale.
• Database Internals – Familiarity with storage engines, query optimization, or distributed consistency models.
• Serverless Ecosystem – Experience working with hirify.global Workers or other serverless platforms to build stateful applications.

Culture & Benefits

• Committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.
• hirify.global provides reasonable accommodations to qualified individuals with disabilities.