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)

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