AI/ML Developer

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