Company Background
Early-stage startup developing an agentic AI “OS for the intelligent enterprise.” Backed by experienced founders in finance/RevOps and AWS architecture, the team focuses on building a horizontal AI platform with an initial use case in Revenue Operations.
What You'll Do
- Architect and implement intelligent agents that operate above the DCL, reasoning and acting through its unified ontology;
- Enhance the DCL’s self-improving abstraction layer using RAG to improve schema understanding, mapping accuracy, and explainability;
- Build intuitive interfaces that visualize agent reasoning, data mappings, and RevOps functionality, with and without HITL;
- Harden and stabilize the existing DCL demo for production-grade performance;
- Work closely with product, design, and solution teams to align technical execution with strategic goals;
- Translate real customer pain points into intelligent, scalable solutions that demonstrate visible value;
The global benefits package includes: * Technical and non-technical training for professional and personal growth; * Internal conferences and meetups to learn from industry experts; * Support and mentorship from an experienced employee to help you professional grow and development; * Internal startup incubator; * Health insurance; * English courses; * Sports activities to promote a healthy lifestyle; * Flexible work options, including remote and hybrid opportunities; * Referral program for bringing in new talent; * Work anniversary program and additional vacation days.
Technologies
- LangChain
- OpenAI APIs
- Gemini APIs
- Replit
- GitHub Copilot
- Python
- Node.js
- React
- Salesforce
- PostgreSQL
- MongoDB
Job Requirements
- 5+ years of experience in software development, with a strong focus on AI/ML application development;
- Experience with platforms like Replit, GitHub Copilot, LangChain, and Gemini/OpenAI APIs;
- Proficiency in Python for building scalable, maintainable API;
- Proven experience designing and deploying agentic architectures and GenAI applications;
- Hands-on experience implementing Retrieval-Augmented Generation in real-world use cases;
- Familiarity with semantic data modeling, schema alignment, and contextual mapping strategies;
- Understanding of iPaaS platforms and their limitations; ability to architect solutions that go beyond commodity plumbing;
- Level of English - from B2 (written/spoken);
