Our Customer:
Our client is developing a personal CRM and community engagement platform that leverages AI to sync contacts, enrich insights, and build communities.
Responsibilities:
- Build and optimize our Python FastAPI & LLM Pipelines backend from the ground up, ensuring robust, scalable architecture;
- Design and implement Retrieval-Augmented Generation (RAG) systems for intelligent contact insights and personalized community recommendations;
- Deploy and manage services on Kubernetes with a focus on scalability, reliability, and performance monitoring;
- Work closely with our CTO and Mobile Dev to deliver seamless, integrated user experiences;
- Drive key technical decisions around LLM pipeline infrastructure, data architecture, and performance optimization strategies.
Required experience and skills:
- 6+ years of Python development experience with strong expertise in backend systems;
- Hands-on Cursor IDE experience (or willingness to quickly adapt);
- Demonstrated expertise in complex algorithmic problem-solving and data structures;
- English — Upper-Intermediate.
Would be a plus:
- Experience with FastAPI, RAG systems, or LLM integrations;
- Kubernetes and cloud infrastructure experience.
Working conditions: