Key Responsibilities
- Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
- Design and develop Retrieval-Augmented Generation (RAG) Pipelines.
- Create and optimize Prompt Engineering workflows for AI applications.
- Build, manage, and optimize Vector Databases for efficient 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.
- Strong 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.

Perks:
- Provident Fund

Apply: [email protected]

📌 GenAI Engineer (Jaipur)
🏢 KDK Software
📍 Jaipur