We have an immediate requirement for a Senior Python Backend & AI Engineer to design and scale enterprise-grade backend systems and deploy production GenAI / Agentic AI applications.
(Note: This is a software engineering role focused on backend systems, cloud integration, and GenAI orchestration—not a core Data Engineer or AI/ML Scientist role). Key Responsibilities
Architect and build high-throughput Python REST APIs and microservices.
Implement and deploy Production RAG, GenAI, and Agentic AI workflows.
Integrate backend systems with enterprise data platforms (Snowflake, Databricks, ADF) while ensuring data governance.
Build scalable cloud architecture (AWS/Azure/GCP) with robust CI/CD, observability, and monitoring. Requirements
8+ Years of core Software Engineering & Python experience (FastAPI / Django / Flask).
3+ Years deploying production-grade RAG, GenAI, or Agentic AI solutions.
AI Frameworks: Hands-on with LangChain, LangGraph, CrewAI, or MCP.
Databases & Data Systems: Strong understanding of RDBMS, NoSQL, and working alongside enterprise data stacks (Snowflake, Databricks, ADF).