Senior Python AI Engineer
Description
About Us ChatRevenue.ai was founded by XXXX XXXX (founder of Veeam) and XXXX XXXX (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’re looking for a Senior Python AI Engineer to join our core team and take ownership of GenAI and RAG pipelines in production. This role is ideal for engineers who enjoy ambiguity, move fast, and want their work to be visible in the product from day one. We focus on outcomes, not ceremonies
- minimal bureaucracy, fast decisions, real ownership.
What You’ll Do Design, build, and maintain production-grade GenAI / RAG pipelines Integrate LLMs and agentic assistants into real business workflows Build and operate vector search, embedding stores, and knowledge graphs Ingest, clean, enrich, and structure large external data streams Experiment with new GenAI frameworks, tools, and multi-agent systems Improve reliability, latency, and cost-efficiency of AI pipelines Mentor engineers and share best practices across the team
What We’re Looking For Strong Python backend experience (FastAPI, async, APIs) Hands-on experience with LLMs in production (OpenAI-family or similar) Practical experience with RAG pipelines, embeddings, vector stores LangChain / LangGraph / LangSmith or similar orchestration frameworks SQL, data processing (Pandas), ETL / data cleaning Docker, CI/CD, Git; experience deploying to cloud (Azure preferred) Ability to work independently in a fast-moving startup environment Good English for documentation and technical communication
Nice to have Graph databases and graph-based retrieval (Neo4j, NetworkX) Kafka / Azure EventHub Multi-agent LLM frameworks Production ML / NLP experience
Why Join Us Remote-first
- work from anywhere Flexible schedule aligned with the European time zone High impact
- your work goes live, not into a backlog Strong technical ownership and influence on architecture Competitive compensation: $6,000-$9,000 Core team role in an AI-native product built from scratch
Skills
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