Job highlights

- 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
- Build RAG or retrieval-based modules where . required . .
- Mandatory Skills / Experience

: Full Stack AI Engineer / Agentic Application Engineer Future Hire | 23 Years Experience | Full time

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.

Develop React/JavaScript-based frontend components and connect them cleanly with backend APIs.

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

23 years hands-on software engineering experience.

Strong Python programming fundamentals.

Practical experience with FastAPI .

Frontend development using React and/or JavaScript/HTML/CSS.

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

Git/GitHub experience.

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.

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Full Stack AI Engineer (Bengaluru)
🏢 Unobank
📍 Bengaluru