Gen AI Developer

People Prime Worldwide; Kolkata District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

People Prime Worldwide in India seeks a skilled Gen AI Developer to design, develop, and deploy AI-powered applications using Generative AI, LLMs, RAG, and modern AI/ML technologies.

You will implement embeddings, vector databases, LangChain workflows, and prompt engineering to build production-ready Gen AI solutions and integrate AI services with enterprise systems.

Qualifications

• Hands-on experience building production-grade Gen AI solutions.
• Strong programming skills in Python.
• Experience with vector databases and retrieval augmented generation.

Responsibilities

• Design and develop applications using Generative AI and LLMs.
• Build RAG-based solutions with embeddings and document retrieval.
• Operate vector databases like Pinecone, FAISS, Chroma, Weaviate, Milvus.
• Implement prompt engineering and evaluation techniques.

Skills

Generative AI

LLMs

Prompt engineering

LangChain

Python

Tools

Pinecone

FAISS

Chroma

Weaviate

Milvus

Job description

We are looking for a skilled Gen AI Developer to design, develop, and deploy AI-powered applications using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI/ML technologies.

The ideal candidate should have strong programming skills and hands-on experience building production-ready Gen AI solutions.

Key Responsibilities

• Design and develop applications using Generative AI and Large Language Models (LLMs).
• Build and integrate AI solutions using models such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar models.
• Develop RAG-based applications using embeddings, vector databases, and document retrieval.
• Work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or similar technologies.
• Develop AI workflows and applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Implement prompt engineering, prompt optimization, and evaluation techniques.
• Integrate LLMs with enterprise applications, APIs, databases, and cloud platforms.
• Develop and deploy AI services using **