AI Engineer

1. Location: Indore, Madhya Pradesh
2. Salary: ₹25,000 – ₹50,000 per month
3. Job Type : Full-time

Job Description

We are looking for a skilled and motivated AI/ML Engineer with 3–4 years of hands-on experience in building and deploying AI-based applications. The candidate should have strong expertise in Machine Learning, Deep Learning, and LLM-based systems, along with backend development experience.

You will be responsible for developing scalable AI solutions, working on RAG pipelines, AI agents, and real-time applications.

Key Responsibilities

• Develop and deploy Machine Learning and Deep Learning models
• Build LLM-based applications such as chatbots, assistants, and automation tools
• Design and implement RAG (Retrieval-Augmented Generation) pipelines
• Work with LangChain and LangGraph for AI agents and workflows
• Develop backend services using FastAPI and Python
• Work with vector databases and embeddings for semantic search
• Handle real-time systems (chat/voice-based applications)
• Integrate third-party APIs (LLMs, STT, TTS, etc.)
• Optimize system performance, latency, and scalability
• Collaborate with team members to deliver production-ready solutions

Required Skills & Qualifications

• 3–4 years of experience in AI/ML development
• Strong proficiency in Python
• Experience with FastAPI / REST APIs / WebSockets / Web RTC

Machine Learning & Deep Learning

• Solid understanding of ML/DL concepts
• Hands-on experience with PyTorch or TensorFlow

NLP & LLMs

• Experience in Natural Language Processing (NLP)
• Working knowledge of LLMs (OpenAI, Groq, LLaMA, etc.)
• Experience with prompt engineering and LLM workflows

AI Systems & RAG

• Strong understanding of RAG pipelines
• Experience with vector databases (ChromaDB, Mongodb atlas vector, Pinecone, FAISS)
• Familiarity with embeddings and semantic search

Databases

• Experience with:
• SQL (PostgreSQL / MySQL)
• NoSQL (MongoDB)

Tools & Frameworks

• Experience with LangChain and LangGraph (agent-based systems)
• Knowledge of Docker (containerization)
• Familiarity with Git and version control