Job Description – AI Engineer (End-to-End Development & Deployment)

Role Summary

We are looking for an AI Engineer with hands-on experience in designing, developing, deploying, and maintaining Generative/Agentic AI solutions in production. The ideal candidate should have end-to-end ownership of AI applications, from development to deployment, monitoring, and optimization.

Key Responsibilities

● Design, build, and deploy Generative/Agentic AI solutions.

● Develop applications using LLMs, RAG, AI agents, and vector databases.

● Build scalable APIs and integrate AI solutions with enterprise applications.

● Implement CI/CD pipelines, containerization, and MLOps best practices.

● Monitor, optimize, and maintain production AI systems.

● Collaborate with cross-functional teams to deliver business-driven AI solutions.

Required Skills

● Robust programming skills in Python.





● Experience with vector databases (e.g., Pinecone, FAISS, ChromaDB) and graph memory systems

● Knowledge of atleast one agent development framework: Google ADK (preferred), LangChain/LangGraph/LlamaIndex, CrewAI

● Experience with LLMs, RAG, GenAI, AgenticAI Agents

● Hands-on experience with FastAPI, and REST APIs.

● Knowledge of Docker, Kubernetes, Git, CI/CD.

● Experience with AWS, Azure, or GCP.

● Experience with security compliance, monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Google Cloud Monitoring.

Skills:- Generative AI (GenAI), Large Language Models (LLM) and Retrieval Augmented Generation (RAG)

📌 GenAI Engineer (Jaipur)
🏢 KDK Software
📍 Jaipur