Full Stack AI Engineer

UNObank, Inc.; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

UNObank, Inc. is seeking a hands-on Full Stack AI Engineer to build AI-enabled internal applications across frontend, backend, and agentic workflows. Proficiency in Python/FastAPI and frontend development with exposure to LLM APIs and RAG workflows is required.

The role emphasizes integration-heavy enterprise applications, testing with Postman/pytest, and delivering complete frontend-backend AI modules within sprint timelines.

Qualifications

• Hands-on experience building AI-enabled internal applications using Python and FastAPI.
• Experience with LLM APIs, RAG workflows, and agentic architectures.
• Familiar with enterprise integrations and testing (Postman, pytest).

Responsibilities

• Deliver complete frontend-backend AI modules.
• Build reliable FastAPI services.
• Produce reusable components.
• Maintain readable code and documentation.
• Meet sprint commitments and timelines.

Skills

LangGraph

CrewAI

Semantic Kernel

LangChain

MCP/tool-calling

Agent frameworks

RAG

Docker basics

AWS familiarity

GCP familiarity

Banking exposure

API testing

Tools

Docker

Postman

pytest

Job description

Job Description: Full Stack AI Engineer / Agentic Application Engineer

Role Summary

We are looking for a hands-on Full Stack AI Engineer who can independently build AI-enabled internal applications across frontend, backend, API integrations, and agentic workflows. The resource should be strong in Python/ FastAPI and frontend development, with practical exposure to LLM APIs, RAG/agent workflows, and integration-heavy enterprise applications.

Preferred / Nice-to-Have Skills

• LangGraph , CrewAI , Semantic Kernel, LangChain .
• MCP/tool-calling concepts and agent frameworks.
• RAG implementation experience.
• Docker basics.
• AWS/GCP familiarity.
• Enterprise integrations and automation tools.
• Postman, pytest , API/frontend testing.
• Banking/financial services exposure.

KPIs / Success Measures

• Deliver complete frontend-backend AI modules.
• Build reliable FastAPI services.
• Produce reusable components.
• Maintain readable code and documentation.
• Meet sprint commitments and timelines.