We’re a stealth-mode startup on a mission to redefine sales. We’re building the next generation of sales automation with an AI-native architecture and an agentic approach, empowering sales teams with unprecedented efficiency and insights. Stay tuned to discover how we’re transforming the future of go-to-market strategies
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· 103 views · 46 applications · 16d
Senior / Principal Backend Engineer at ChatRevenue
Full Remote · Worldwide · 3 years of experience · English - B2About Us 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...About Us
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’re looking for a Senior / Principal Backend Engineer who thrives in dynamic environments, enjoys solving complex data challenges, and wants to shape a product from its early stages.
At ChatRevenue, we focus on goals, not ceremonies – no endless grooming sessions or heavy planning rituals.
You’ll have a direct influence on architecture, product decisions, and data design. Decisions are made quickly through open discussion and collaboration, without corporate bureaucracy.What You’ll Do
- Design, develop and maintain backend services and APIs using Python / FastAPI
- Work with structured and unstructured data
- Implement AI-driven features into backend logic and APIs
- Ensure DevOps best practices (testing, CI/CD, security, Docker/Kubernetes)
- Collaborate closely with product, data, and frontend engineers to deliver business values fast
What We’re Looking For
- Strong Python experience, ideally with FastAPI, async programming, proven capacity to write production-ready code with speed and precision.
- Experience with SQL (PostgreSQL) and data processing frameworks (Pandas, ETL/ELT)
- Hands-on experience with Docker, Kubernetes, and Azure Cloud
- Understanding of data architecture, performance optimization, and scalability
- Experience with CI/CD pipelines, Git, and code review culture
- Excellent teamwork skills – constructive feedback, collaboration, and ownership mindset
Nice to have
- Experience with OpenSearch, Kafka, or Azure Data Services
- Exposure to DevSecOps and advanced debugging
- Knowledge of Generative AI integration into backend systems
- Develop and maintain data flows, ETL/ELT pipelines, and integrations between internal and external systems
Why Join Us
- Remote-first culture – work from anywhere
- Flexible schedule aligned with European time zone
- Direct impact – your work is visible in the product from day one
- Professional growth – as we scale, you can own a technical domain or lead a module
- Core team – become one of the people who know the product best and grow together with it
- Competitive compensation
If you want to build an AI-native CRM from the ground up and be part of the core team shaping the product, we’d love to hear your story.
Apply or reach out directly – let’s build something truly transformative together.
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· 104 views · 37 applications · 14d
Generative AI / Data Engineer at ChatRevenue.ai (AI-native CRM Platform) to $9000
Full Remote · Worldwide · Product · 5 years of experience · English - B2About Us 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...About Us
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
This role is for engineers who thrive in dynamic environments, where processes are still being shaped and impact is immediate.
At ChatRevenue, we focus on goals rather than ceremonies – no endless grooming sessions or heavy planning rituals. Decisions are made quickly through open dialogue and collaboration, not through layers of approvals.
Previous startup experience is not required – what matters is curiosity, independence, and drive. As part of the core team, you’ll have the chance to own technical domains, lead innovation, and grow together with the company.
What You’ll Do
- Design, deploy, and maintain GenAI/RAG pipelines for production
- Integrate LLMs and agentic assistants into 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, 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
- 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
- Flexible schedule aligned with European time zone
- Direct impact – your work is visible in the product from day one
- Professional growth – own technical domains, lead innovation, scale with the company
- Competitive compensation: $6000-9000
- Core team – become one of the people who know the product best and shape its future
If you want to be part of the core team building an AI-native CRM from scratch, we’d love to hear your story.
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· 184 views · 57 applications · 14d
Senior Python AI Engineer to $9000
Full Remote · Worldwide · Product · 5 years of experience · English - B2About Us 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...About Us
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’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