Generative AI/Data Engineer

About Us

At ChatRevenue.ai, we’re not just building another sales tool – we’re creating a new kind of CRM, designed AI-native from day one.

Our platform connects directly to emails, calendars, and communication channels, automatically structures the information, and transforms it into actionable insights in real time. That means less time on routine, more time for decisions that move business forward.

Our vision is simple: the software should do the work, while people focus on control, guidance, and strategic decisions.

We believe in open thinking, speed, and real impact. Engineers here don’t just deliver features – they influence product direction, shape technology, and push the boundaries of how GenAI is applied in real-world SaaS.

About the Role

This role is for engineers who thrive in dynamic environments, where processes are still being shaped and impact is immediate. We focus on goals rather than ceremonies: no endless grooming sessions or heavy planning rituals.

Our processes are still evolving, so you’ll have a direct influence on how they develop. There are no layers of managers or endless approvals – decisions are made quickly through collaboration and open dialogue.

Previous startup experience is not required. What matters is being ready to work without rigid rules, take initiative, and make decisions independently.

As part of the core team, you’ll also have the opportunity to grow together with the company – whether by owning a technical domain, leading a product module, or driving innovation as the platform scales.

What You’ll Do

• Design, deploy, and maintain GenAI/RAG pipelines for production use

• Integrate LLM and agentic assistants into user business flows

• Source, ingest, clean, and enrich external data streams

• Build and manage vector search, embedding stores, and knowledge graphs

• Explore and implement new ML/GenAI frameworks and multi-agent systems

• Mentor developers and share knowledge across the team

What We’re Looking For

• Strong backend skills: Python, FastAPI, Webhooks, Docker, Kubernetes, Git, CI/CD

• Hands-on experience with LLMs (OpenAI-family), LangChain/LangGraph/LangSmith, prompt engineering, RAG, vector stores (Azure AI Search, Pinecone, Neo4j, FAISS)

• SQL, Pandas, Graph DBs (Neo4j), NetworkX, advanced ETL/data cleaning, Kafka/Azure EventHub

• Proven experience running RAG pipelines in production

• Familiarity with graph algorithms (community detection, similarity, centrality)

• Good English for documentation, API design, and teamwork

• Startup drive, proactivity, independence

• Willingness to relocate or travel within Europe; full-time availability

Nice to Have

• Generative UI (React)

• Multi-agent LLM frameworks

• Big Data pipelines in cloud (Azure preferred)

• Production-grade ML/NLP, graph ML

Why Join Us

• Remote-first culture – work from anywhere in the world

• Flexible schedule aligned with European time zone

• No bureaucracy or micromanagement – lightweight code reviews, transparent decision-making, and fast feedback

• Direct impact – your work is visible in the product from day one

• Professional growth – as the company scales, you can take ownership of technical domains and lead innovation

• Competitive compensation – we value expertise and reward at market level

• Core team – become one of the people who know the product best and grow together with it

If you want to be part of the core team building an AI-native CRM from scratch, we’d love to hear your story.