Full Stack AI Engineer

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

Job Description: 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.

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