Summary

The candidate will join a team responsible for the development of a regulatory reporting cloud solution integrating with various source systems and third-party reporting solutions. Working alongside a product lead, squad lead, and technical leads.

About the Role:

Seeking a Senior Engineer to lead the design and development of a cutting-edge, Python-based Sales Automation System that leverages agentic AI frameworks, competitor analysis, and real-time data processing. This role is central to building an intelligent automation engine that integrates data across Azure services, Cosmos DB, and Snowflake, enabling smart decision-making for sales strategy and execution.

This is a critical role that combines deep technical expertise with a strong understanding of sales enablement and pitching. The ideal candidate will be at the intersection of software engineering and business growth — capable of developing robust systems while also understanding the nuances of driving competitive advantage in sales.

Key Responsibilities:

Lead the end-to-end development of a Python-based sales automation system.
Build and deploy AI-driven modules that automate competitor analysis and sales intelligence using agentic AI framework and Agentic AI principles.
Integrate multiple data sources (internal & external) and manage data flow through Azure, Cosmos DB, and Snowflake.
Design modular components for data extraction, transformation, and insight generation.
Collaborate with Sales and Business Development teams to understand requirements, use cases, and workflows.
Support automated sales pitch generation and enrichment pipelines using generative AI.
Ensure scalability, reliability, and maintainability of the solution across diverse sales channels.

Required Skills and Qualifications:

6+ years of strong Python backend development experience
Expertise in building scalable RESTful APIs (FastAPI / Flask / Django DRF)
Hands-on with Azure services: Functions, App Services, Blob Storage, Azure Cosmos (NoSQL)
Strong SQL skills; Snowflake DB, working knowledge of GitHub
Exposure on GenAI for project development
Data Engineering work on the ingestion pipeline
Determine the best way to ingest content into the Snowflake table
Carry out the necessary data transformation and match in order to get the right data into Snowflake tables

Preferred Qualifications:

Experience in building or integrating AI-powered sales enablement platforms
Exposure to streaming data, real-time analytics, or decision systems in sales contexts
Familiarity with MLOps or deploying AI solutions in production
Prior experience in cross-functional roles involving product, business, and engineering stakeholders

Python Developer