Artificial Intelligence Engineer (LLM, Agentic AI & RAG) Location: Jaipur, Rajasthan

Job Type: Full-time | On-site

About LearningBIX LearningBIX is building next-generation AI-powered educational solutions, including Offline AI Tutors, multilingual learning platforms, and intelligent AI assistants for schools. Our mission is to make quality education accessible through cutting-edge AI and STEM technologies.

Role Overview We are looking for an Artificial Intelligence Engineer with expertise in LLMs, Agentic AI, RAG, Model Fine-Tuning, Knowledge Distillation, and AI Deployment. You will design, optimize, and deploy production-grade AI systems for both edge devices and cloud infrastructure.

Key Responsibilities

- Train, fine-tune, and optimize open-source LLMs (Llama, Qwen, Gemma, Mistral, DeepSeek, Phi).
- Design and implement Knowledge Distillation pipelines (Teacher–Student Training) to build smaller, faster, and production-ready AI models.
- Develop RAG and GraphRAG pipelines using LangChain, LangGraph, embeddings, and vector databases.
- Build AI Agents with Graph Memory, User Memory, Long-Term Memory, and Knowledge Graphs.
- Develop multilingual AI solutions and semantic search for educational content.
- Optimize inference using llama.cpp, vLLM, TensorRT-LLM, GGUF, AWQ, and GPTQ.
- Deploy scalable AI services using FastAPI, Docker,



Kubernetes, and cloud platforms.
- Build evaluation pipelines to measure reasoning, accuracy, latency, hallucination, and model quality.

Required Skills
- Python, PyTorch, Hugging Face Transformers
- LangChain, LangGraph, LlamaIndex
- RAG, GraphRAG, AI Agents
- Fine-Tuning (LoRA, QLoRA, PEFT, SFT)
- Knowledge Distillation (Teacher–Student Models)
- Synthetic Data Generation & Model Evaluation
- GGUF, AWQ, GPTQ, llama.cpp, vLLM
- FAISS, ChromaDB, Qdrant, Milvus, Pinecone
- Neo4j, Graph Memory, User Memory, Knowledge Graphs
- FastAPI, Docker, Kubernetes, Git, Linux
- Azure, AWS, or GCP

Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3 years of experience building production AI or Generative AI applications.
- Experience with Edge AI, multilingual NLP, educational AI, or NVIDIA Jetson platforms is a plus.

Why Join LearningBIX
- Work on meaningful AI products for education
- Build real-world offline AI systems that can impact schools and students
- Collaborate with an innovation-driven team focused on STEM and future-ready learning
- Be part of a mission-led company using technology to improve education outcome

📌 Artificial Intelligence Engineer (Jaipur)
🏢 LearningBIX
📍 Jaipur