Key Responsibilities
Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
Design and develop Retrieval-Augmented Generation (RAG) Pipelines .
Build, manage, and optimize Vector Databases for productive knowledge retrieval.
Ensure data security , compliance, and high-performance AI architecture.
Monitor and optimize AI model quality, latency, and operational cost .
Collaborate with Product and Engineering teams to deliver scalable AI-powered SaaS features.

Experience Required
3+ years of backend development experience using Python, Go, or Node.js .
Experience building LLM Applications using OpenAI, Claude, or Hugging Face .
Hands-on experience with LangChain or LlamaIndex .
Solid understanding of Retrieval-Augmented Generation (RAG) .
Experience with Vector Databases such as Pinecone, Weaviate, or pgvector .




Experience working with Cloud Platforms (AWS, GCP, or Azure) .
Knowledge of APIs, Microservices, and Prompt Engineering .

Preferred
Experience in FinTech or SaaS domain.
Exposure to LLMOps and Model Fine-tuning .

Skills Required : Must Have
Model Integration.
Retrieval-Augmented Generation (RAG) Pipelines .
Vector Database implementation and management.
Security and Compliance best practices.
AI Performance Monitoring and Optimization.

Preferred
CI/CD for AI Applications.
Observability for AI systems.

Education & Qualification
B.Tech / BCA or Technical Certification.

Pay: ₹1,000,000.00 per year

Advantages :
Provident Fund

Work Location: In person

📌 Genai Engineer Llm Python Rag Langchain Ai Integration Jaipur
🏢 KDK Software India
📍 Jaipur