Key Responsibilities
- Develop and deploy Machine Learning and Deep Learning models:
- 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:
- 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:
- Solid 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
Tools & Frameworks
- Experience with LangChain and LangGraph (agent-based systems):
- Knowledge of Docker (containerization):
- Familiarity with Git and version control
Work Location: In person
📌 Ai Engineer (Indore)
🏢 Wappgo IT Services Private
📍 Indore
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