TL;DR

Staff AI Engineer (EMEA): Building and optimizing backend systems and APIs supporting AI/ML workloads with an accent on infrastructure, automation, and performance. Focus on operationalizing cutting-edge LLM technologies and collaborating with cross-functional teams.

Location: Remote (EMEA)

Company

%hirify_global% is an AI companion loved by 35M+ users around the world.

What you will do

Build, manage, and optimize backend systems and APIs supporting AI/ML workloads.
Support and maintain robust data and ML pipelines, ensuring scalability and reliability.
Develop FastAPI-based microservices leveraging Python async patterns.
Manage state and flow tracking using Redis and MongoDB, optimizing performance and persistence layers.
Integrate with LLMs (LLaMA, OpenAI, Anthropic) and support vector database operations (e.g., Pinecone).
Implement and maintain Docker-based containerized environments for both development and production.

Requirements

Minimum 5+ years of experience with Python development.
Experience with Redis (especially asyncio clients) for state tracking and flow control.
Strong understanding of MongoDB query patterns and schema design.
Experience working with Large Language Models, including LLaMA (3.x preferred).
Hands-on with LLM APIs such as OpenAI, Anthropic, etc.
Experience with vector databases like Pinecone, understanding semantic search and embeddings.

Nice to have

FastAPI for building async APIs and microservices.
Familiarity with Scala or willingness to learn it.
Experience with Kubernetes or other orchestration tools.
Prior work in AI/ML-focused product teams or research environments.
Experience in leadership roles such as Team Lead, Engineering Manager, or Staff Engineer

Culture & Benefits

A chance to build a product that actually matters to millions of people
Freedom to work remotely with a globally distributed team
Offsites in different countries with people who actually like each other
A trustworthy, high-responsibility environment where your ideas really matter