About the job

Key responsibilities:

Design and implement Retrieval Augmented Generation (RAG) pipelines
combining vector search and LLM-based reasoning.
Build intelligent chatbot systems, document retrieval engines, and personalized AI
agents.
Fine-tune language models for specific domain applications where needed.
Integrate with external APIs and databases to fetch real-time or contextual data for
model responses.
Manage embeddings storage and retrieval using vector databases
like Pinecone or FAISS.
Optimize RAG pipelines for latency, cost, and accuracy.
Collaborate with software engineers, UI/UX teams, and business analysts to define
use-cases and deliver production-grade solutions.
Stay updated on the latest research in GenAI, Retrieval, and LLMs to enhance
system capabilities.
Deploy and monitor GenAI services on cloud infrastructure.
Document system architectures, API contracts, and model performance metrics

Skill(s) required

Artificial intelligence AWS CloudFormation FastAPI Flask Google Cloud Platforms (GCP) Hugging Face LangChain LLM evaluation Machine Learning Natural Language Processing (NLP) OpenAI API Prompt Engineering Python

Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. have minimum 1 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: ₹ 2,05,000 - 2,06,000 /year

Annual CTC breakup:

1. Fixed pay: ₹ 2,00,000 /year

2. Variable pay: ₹ 5,000 /year

Perks

Informal dress code 5 days a week

Number of openings

About KayJay Global Solutions Pvt.Ltd

KayJay Global Solutions is a full stack digital transformation and IT consulting firm that partners with businesses to design, build, and scale modern technology solutions. They combine innovation with outcome oriented strategies to help clients streamline operations, adopt emerging technologies, and unlock new growth opportunities.

Artificial Intelligence (AI) Trainee