Full Stack Engineer

About Crenovent Technologies :

Crenovent is building RevAi Pro, a next-generation Revenue Orchestration Platform designed for CROs, CMOs, RevOps leaders, and customer-facing teams across verticals like SaaS, Banking, Insurance, E-commerce, and IT Services. Our platform combines AI Agents, Workflow Automation, and Industry-Specific Intelligence to deliver better forecasting, follow-ups, cadence, and execution for revenue teams.

We're now scaling the platform across modules like :

Cruxx (Next Step Management)

Let’s Meet (AI Meeting Assistant)

Quota & Compensation

Voice of Customers

Revenue Dashboards & Planning

Action Center for AI Agents and Workflows

Your responsibilities :

Design and develop scalable frontend interfaces using React / Next.js / TailwindCSS

Build backend APIs and microservices using Python (FastAPI) and PostgreSQL

Integrate with 3rd-party platforms like Salesforce, HubSpot, MS Dynamics, Snowflake, Slack, Notion

Implement role-based access control (RBAC), workflow orchestration, and dynamic dashboards

Work closely with product managers, AI engineers, and designers to translate business requirements into production-grade software

Optimize performance and scalability for enterprise-scale deployments

Contribute to DevOps (CI / CD, Docker, Kubernetes, logging / monitoring)

Tech Stack

Frontend : React, Next.js, TailwindCSS, TypeScript

Backend : Python, FastAPI, PostgreSQL, Redis

AI Integration : OpenAI GPT-4, LangChain, Vector DBs (e.g., Weaviate or Pinecone)

Data Integration : REST / GraphQL APIs, Webhooks, ETL Pipelines

DevOps : Docker, Kubernetes, GitHub Actions, AWS / GCP / Azure

Tools : Grafana, Postman, Swagger, Terraform

Required Skills

2–4 years of experience as a full stack developer in SaaS or enterprise software

Proficiency in building APIs and scalable services using Python

Strong experience with ReactJS and modern frontend architectures

Experience with PostgreSQL and writing efficient SQL queries

Hands-on experience with authentication / authorization flows, especially RBAC

Familiarity with LLM APIs, WebSocket / real-time notifications, and microservices architecture

Ability to write clean, modular, testable code

Experience with CI / CD, Docker, and managing staging / prod environments

Nice to Have

Exposure to CRM systems (Salesforce, MS Dynamics)

Experience working with AI / ML teams or integrating LLMs in apps

Knowledge of industry-specific challenges in SaaS, BFSI, or RevOps

Prior work in building dashboard-heavy, workflow-oriented enterprise apps

Knowledge of data pipelines, scheduling, and event-driven systems