Job Description

- AI/ML developer

Location:

Vaishali nagar ,Jaipur

Experience:

1-2 years

Employment Type:

Full-time

About Us

At

Eoxys IT Solutions

, we are leveraging Artificial Intelligence and Machine Learning to build next-generation intelligent solutions. We are looking for a passionate

AI/ML Engineer

with hands-on experience in

RAG (Retrieval-Augmented Generation), GenAI Models, NLP, Multi-Agent Systems, and Prompt Engineering

to join our growing team.

Key Responsibilities

Design, develop, and fine-tune

Generative AI models

for real-world applications. Implement and optimize

RAG (Retrieval-Augmented Generation)

pipelines for knowledge-intensive tasks. Work on

NLP tasks

such as text classification, summarization, entity recognition, and conversational AI. Research, experiment, and deploy

multi-agent and autonomous agent frameworks

. Apply

prompt engineering techniques

to improve LLM responses and performance. Collaborate with cross-functional teams to integrate AI models into products and solutions. Stay updated with the latest advancements in

GenAI, LLMs, and ML frameworks

.

Required Skills & Qualifications

1-2 years of hands-on experience

in AI/ML, preferably with exposure to

Generative AI and NLP

projects. Strong understanding of

LLMs (GPT, LLaMA, Falcon, Mistral, etc.)

and their fine-tuning techniques. Experience in

RAG architectures

using vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.). Knowledge of

multi-agent frameworks

(LangChain Agents, AutoGen, CrewAI, etc.). Proficiency in

Python

and ML libraries (PyTorch/TensorFlow, Hugging Face, LangChain, etc.). Good grasp of

Prompt Engineering

and optimization strategies. Understanding of APIs, cloud platforms (AWS, Azure, GCP), and deployment tools is a plus.

Preferred Qualifications

Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or related field. Hands-on project experience with

GenAI-driven chatbots, summarizers, or recommendation systems

. Familiarity with

MLOps practices

for deployment and scaling.
Job Type: Full-time

Pay: ₹15,000.00 - ₹40,000.00 per month

Work Location: In person