AI Full Stack Engineer

Job Summary

AI Full Stack Engineer in Bangalore, India, India AI Full Stack Engineer

Location: Bangalore, India

Work Location: No Remote - Work from Client Office in Gurugram

Position: AI Full Stack Engineer

Experience: 2 - 3 Years

Build, maintain, and support AI-enabled applications for Finance Technology so the AI Lead can stay focused on architecture, priority delivery, and stakeholder alignment. This is a hands-on build-and-run role, not a research scientist role.

Key responsibilities

Application build

• Design, develop, and ship full stack features across the UI, APIs, and data access layers.
• Implement and extend AI-assisted workflows (chat, retrieval, document QA, copilots) using approved enterprise model access.
• Write clean, tested TypeScript and Python, with reusable components rather than one-off scripts.

Support to the AI Lead

• Own day-to-day maintenance: defects, small enhancements, environment issues, and user support.
• Prepare demos, test evidence, release notes, and handover packs so the AI Lead can review rather than rebuild.
• Track open items, follow up with testers and business users, and keep delivery status current.
• Raise risks early (security, data handling, reliability) instead of waiting for review.

Run and quality

• Maintain local and non-production environments, logs, and basic health checks.
• Add unit and integration tests for new work, and regression tests for fixes.
• Follow secure SDLC practice: no secrets in code, least privilege, and InfoSec-approved patterns only.
• Document how each application is run, supported, and recovered.

Required experience and skills

• About 3 years as a full stack developer, with production features owned end to end.
• Strong in one modern frontend stack: React and TypeScript (Next. js is a plus).
• Strong in one backend stack: Python (FastAPI or similar) or Node. js, plus REST APIs.
• Working SQL and comfort with APIs, JSON, authentication flows, and Git.
• Practical exposure to LLMs or AI features: calling model APIs, prompt flows, retrieval, or embedding search. Depth in research or model training is not required.
• Clear written communication and the discipline to close tickets, not only start them.

Preferred

• FastAPI, React, and TypeScript used together on the same product.
• Cloud basics (AWS), Docker, and CI pipelines.
• Finance, reporting, or SAP-adjacent application support.
• Familiarity with RAG, vector search, or enterprise LLM gateways.
• Experience supporting a senior engineer or lead: taking maintenance, test, and documentation load.

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.