Role : AI Engineer

Company: Yes Madam

Location: Noida (Work From Office)

Experience: 8+ Years

Employment Type: Full-Time

About Yes Madam:

Yes Madam is India's leading D2C at-home beauty and wellness services platform, serving millions of customers across the country. We leverage technology and innovation to build seamless customer experiences and are now expanding our AI capabilities to solve business challenges at scale.

Role Overview:

We are looking for a highly skilled AI Engineer with 8+ years of software engineering experience and robust expertise in Generative AI, Large Language Models (LLMs), Machine Learning, and production-grade AI systems. You will be responsible for designing, developing, and deploying scalable AI solutions that drive automation and business impact.

Responsibilities:

- Design and develop AI-powered applications using LLMs.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Develop AI agents using LangChain, LangGraph, or LlamaIndex.
- Integrate OpenAI, Gemini, Claude, or open-source LLMs into production systems.
- Design prompt engineering strategies and optimize model performance.
- Build APIs using FastAPI or Flask.
- Work with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
- Deploy AI solutions using Docker, Kubernetes,



and cloud platforms.
- Collaborate with engineering and product teams to deliver scalable AI solutions.
- Mentor engineers and contribute to technical architecture.

Required Skills:

- 8+ years of software development experience.
- Strong proficiency in Python.
- Hands-on experience with Generative AI and LLMs.
- Experience with Prompt Engineering and RAG architectures.
- Knowledge of LangChain, LangGraph, or LlamaIndex.
- Experience with OpenAI, Gemini, Claude, or Hugging Face models.
- Strong understanding of vector databases.
- Experience with FastAPI/Flask and REST APIs.
- Familiarity with Docker, Kubernetes, and CI/CD.
- Experience with AWS, Azure, or GCP.
- Good understanding of Machine Learning and NLP concepts.

Good to Have:

- AI Agent frameworks (CrewAI, AutoGen)
- MCP (Model Context Protocol)
- Fine-tuning LLMs (LoRA/QLoRA)
- GraphRAG
- MLflow
- Kafka
- Redis
- PostgreSQL
- PyTorch or TensorFlow

Education:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

If you're passionate about building scalable AI products and solving real-world problems with the latest AI technologies, we'd love to connect with you.

📌 Yes Madam - AI Engineer - LLM/RAG (India)
🏢 YesMadam
📍 India