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Gen Ai Developer

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Summary

Hands-on GenAI application developer (2 openings, 3–6 yrs) in Chennai building AI apps, PoCs, agents, and APIs for a gold loan business's digital transformation. Core stack is Python, REST APIs, LLMs (Claude/Gemini/GPT), RAG, and prompt engineering, with AWS/Azure/GCP AI services preferred.

Dear Aspirants,


Urgent Hiring!!!


Job Description AI Developer / GenAI Application Developer

Location: Chennai
No. of Positions: 2
Experience: 3–6 Years
Reporting / Collaboration: Gold Loan Business Team & Digital Transformation Team

Role Overview

We are looking for 2 hands-on AI Developers / GenAI Application Developers to work closely with the Gold Loan Business Team and Digital Transformation Team to identify, develop and implement AI-powered applications and automation solutions.

The resources will be responsible for converting business requirements into working AI applications, PoCs, APIs and production-ready solutions across the Gold Loan journey.

The role requires strong hands-on experience in Generative AI, LLMs, AI Agents, Document AI, OCR, Voice AI, API integration and AI application development.

Key Responsibilities

1. AI Application Development

  • Understand business requirements from the Gold Loan and Digital teams and translate them into AI solutions.
  • Design, develop and deploy AI-powered applications for business and operational use cases.
  • Build rapid Proof of Concepts (PoCs) and convert successful PoCs into production-ready applications.
  • Develop reusable AI components, APIs and services that can be integrated with existing applications.
  • Work with Digital developers to integrate AI capabilities into mobile applications, web applications, LOS/LMS and internal systems.

The candidate should be capable of taking an idea/use case from business requirement solution design PoC development API integration deployment.

2. Generative AI & Agentic AI

  • Develop applications using LLMs and Generative AI.
  • Build RAG-based enterprise applications using internal documents and knowledge repositories.
  • Develop AI Agents capable of performing multi-step tasks.
  • Implement function calling, tool calling and structured JSON outputs.
  • Develop prompt engineering strategies for business-specific use cases.
  • Evaluate and select appropriate AI models based on accuracy, latency, security and cost.
  • Work with models such as Claude, Gemini, GPT and other enterprise LLMs.

3. Technology & Integration

Mandatory

  • Python
  • REST APIs
  • JSON
  • API integration
  • Git
  • LLM/API integration
  • Prompt Engineering
  • Basic database knowledge

Preferred

  • AWS Bedrock
  • AWS services
  • Google Vertex AI / Gemini
  • Azure OpenAI
  • OpenAI APIs
  • Anthropic Claude
  • LangChain / LangGraph
  • LlamaIndex
  • Vector databases
  • Docker
  • FastAPI / Flask
  • Node.js

4. Collaboration with Team

The resources will work closely with the Digital Development team to:

  • Understand existing application architecture.
  • Integrate AI APIs into existing applications.
  • Develop backend services and APIs required for AI use cases.
  • Work with Android, web and backend developers.
  • Conduct API testing and integration testing.
  • Support deployment and productionisation.
  • Monitor AI applications and improve performance.

5. Business & Innovation Responsibilities

  • Proactively identify opportunities where AI can improve Gold Loan customer experience, operational efficiency, turnaround time and employee productivity.
  • Work with business users to understand pain points and convert them into AI use cases.
  • Evaluate new AI technologies, models and startups/tools where relevant.
  • Conduct technical evaluations and PoCs.
  • Present working prototypes to Business and Digital stakeholders.
  • Maintain documentation of AI solutions, architecture and APIs.

Required Skills

Area

Requirement

Python

Mandatory

Generative AI / LLM

Mandatory

Prompt Engineering

Mandatory

REST API / JSON

Mandatory

RAG

Preferred

AI Agents / Agentic AI

Preferred

AWS Bedrock


Strong advantage

Candidate Profile

The ideal candidate should be a hands-on AI application developer who can independently build and demonstrate working solutions.

The candidate should be able to:

Understand Business Problem Design AI Solution Build PoC Develop Application/API Integrate with Digital Systems Test Deploy

Candidates whose experience is limited to AI/ML research, model training or theoretical knowledge without application development experience will not be preferred.

Experience

3–6 years total experience, with relevant hands-on experience in AI/GenAI application development.

Experience in BFSI, Banking, NBFC, FinTech or Lending will be an added advantage.

Position Details

Positions: 2
Location: Chennai
Primary Stakeholders: Gold Loan Business Team + Digital Transformation Team
Role Type: Hands-on AI Application Development

Skills

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