Principal Backend Engineer (Python / AI)

About ChatRevenue.ai
ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.
We’re building an AI-native CRM platform that completely redefines how sales automation works.
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.
Our mission: to build a CRM that works for User, not the other way around.

About the role
We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems.
This is a hands-on engineering role focused on:
Python backend
FastAPI
Data-heavy systems
AI / LLM product features
System architecture and scalability
We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production.

What you will do
Design, build, deploy, and maintain core backend services using Python and FastAPI
Own backend architecture, data flows, and technical decisions in your domain
Build and scale data-intensive systems, integrations, and pipelines
Work on AI / LLM-driven product features together with the engineering team
Improve system performance, scalability, reliability, and observability
Contribute to engineering practices: testing, CI/CD, security, and code quality
Work closely with product and engineering to deliver high-impact features

What we are looking for
7+ years of hands-on backend development experience
Strong commercial experience with Python in production
Python should be your primary backend language
Strong experience with FastAPI, APIs, Docker, Git, and CI/CD
Experience owning backend systems end-to-end: architecture, performance, data, reliability
Strong knowledge of PostgreSQL and data-heavy systems
Experience building distributed, scalable, or high-load systems
Good understanding of system design and performance optimization
Ability to work with ambiguity and take ownership without micromanagement
High ownership, independence, and product mindset

Nice to have
Experience integrating LLMs / AI into backend systems
Experience with RAG, embeddings, vector databases, or AI assistants
Experience with Kafka, Azure Event Hub, or other event-driven systems
Experience with Kubernetes and cloud infrastructure, especially Azure
Experience building ETL / ELT pipelines
Experience working with structured and unstructured data
Production observability, tracing, monitoring, and optimization experience

This role is likely a strong match for people who
Enjoy owning backend systems end-to-end, not just implementing isolated tasks
Feel strongest in Python as their main backend language
Have worked on production systems where reliability, performance, and scale matter
Want to have direct influence on technical decisions and architecture
Are comfortable working in an early-stage, high-ownership environment

What we offer
Remote-first setup
Flexible schedule aligned with European time zones
A core engineering role in an AI-native product
Direct influence on technical decisions and architecture
Real ownership and visible product impact
Opportunity to grow into technical leadership / domain ownership

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk.