About The Role

We are seeking an AI Engineer to design and build production-ready LLM applications, including Retrieval-Augmented Generation (RAG) pipelines and multi-agent AI systems. The role focuses on strong system design, clean architecture, and practical implementation of intelligent, tool-integrated solutions. You will be responsible for end-to-end development — from document indexing and semantic retrieval to agent orchestration and context management — ensuring scalable, accurate, and well-documented AI systems.

Responsibilities

Design and implement end-to-end RAG pipelines including document processing, vector indexing, and semantic retrieval
Integrate LLMs to generate accurate, context-grounded responses
Develop and orchestrate multi-agent AI systems with structured handoffs
Implement tool integrations for FAQs, seat updates, and external workflows
Manage per-user session context and state across agent interactions
Write clean, modular, and well-documented code
Test, debug, and optimize system performance and retrieval accuracy
Document architecture decisions,



assumptions, and trade-offs
Collaborate with stakeholders to refine requirements and improve solutions

Requirements

Experience building LLM-powered applications and RAG systems
Strong understanding of embeddings, vector databases, and semantic search
Hands-on experience with frameworks such as LangChain, LangGraph, or similar
Proficiency in Python and building RESTful APIs
Experience integrating external tools and APIs within AI workflows
Solid understanding of system design, microservices, and scalable architectures
Ability to manage session state and context in conversational systems
Strong debugging, problem-solving, and optimization skills
Explicit communication skills with the ability to explain technical decisions and trade-offs

Nice to Have

Experience with agent orchestration frameworks and multi-agent architectures
Hands-on experience with FAISS, Chroma, Pinecone, or Azure Cognitive Sear

📌 AI Engineer – LLM (India)
🏢 Navaris Digital
📍 India