Full Stack AI Engineer

UNO Digital Bank; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

UNO Digital Bank in Bengaluru, India seeks a hands-on Full Stack AI Engineer to build AI-enabled internal applications across frontend, backend, and workflows. Strong in Python/FastAPI with exposure to LLM APIs and agentic workflows, plus integration-heavy enterprise apps.

Responsibilities include designing full-stack AI modules, API and database integrations, and delivering modular, well-tested code with CI/CD collaboration.

Qualifications

• 2–3 years hands-on software engineering experience.
• Practical experience with FastAPI.
• Database fundamentals: SQL/PostgreSQL/MySQL and/or MongoDB.
• REST API design and debugging.
• Understanding of LLM API integration and prompt/tool workflows.

Responsibilities

• Design and develop full-stack AI applications covering backend APIs, frontend screens, workflows, and integrations.
• Build and maintain Python/FastAPI-based services for AI automation use cases.
• Implement agentic workflows using tool-calling, orchestration, memory/state handling, and controlled execution patterns.
• Build RAG or retrieval-based modules where required.
• Integrate internal/external APIs, databases, and automation services securely and reliably.
• Write modular, readable, maintainable code with testing discipline.
• Coordinate with DevOps/platform teams for CI/CD and releases.
• Document architecture, APIs, configuration, assumptions, and deployment requirements.
• Work closely with stakeholders to convert requirements into solutions.

Skills

Python

FastAPI

Frontend development

API integrations

LLM APIs

Tools

PostgreSQL

MongoDB

MySQL

CI/CD

Job description

Job Description: Full Stack AI Engineer / Agentic Application Engineer

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.

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.

Key Responsibilities:

• Design and develop full‑stack AI applications covering backend APIs, frontend screens, workflows, and integrations.


• Build and maintain Python/FastAPI‑based services for AI automation use cases.


• Implement agentic workflows using tool‑calling, orchestration, memory/state handling, and controlled execution patterns.


• Build RAG or retrieval‑based modules where required.


• Integrate internal/external APIs, databases, and automation services securely and reliably.


• Write modular, readable, maintainable code with testing discipline.


• Coordinate with DevOps/platform teams for CI/CD and releases.


• Document architecture, APIs, configuration, assumptions, and deployment requirements.


• Work closely with stakeholders to convert requirements into solutions.

Mandatory Skills / Experience:

• 2–3 years hands‑on software engineering experience.


• Practical experience with FastAPI.


• Database fundamentals: SQL/PostgreSQL/MySQL and/or MongoDB.


• REST API design and debugging.


• Understanding of LLM API integration and prompt/tool workflows.

Preferred / Nice‑to‑Have Skills:

• LangGraph, CrewAI, Semantic Kernel, LangChain.


• MCP/tool‑calling concepts and agent frameworks.


• Enterprise integrations and automation tools.


• Postman, pytest, API/frontend testing.

KPIs / Success Measures

• Deliver complete frontend‑backend AI modules.


• Maintain readable code and documentation.


• Meet sprint commitments and timelines.