AI Engineer – Scalable Agent Architectures

Job Title: IIT AI Engineer – Scalable Agent Architectures

Location: Remote (Preference for IST or EST overlap)

Company: EZAIX

Type: Full-time

Level: Senior / Principal

About the Role

EZAIX is building the future of connected enterprise intelligence — where AI agents don’t just respond, they act. We are looking for an experienced AI Engineer to help us architect and implement highly scalable, event-driven, multi-agent systems for real-world enterprise automation and collaboration.

You’ll work at the intersection of LLM infrastructure, Azure-native microservices, and agent orchestration frameworks (LangGraph, LangChain) to create dynamic, tool-using, streaming-first systems that can reason, route, and respond across business workflows.

Your Mission

• Architect and build AI-first microservices that power intelligent enterprise workflows

• Design and implement LangGraph/LangChain-based AI agents that invoke tools, handle context, and collaborate over stateful graphs

• Tune and orchestrate open-source LLMs (LLaMA 2/3, Mistral, Mixtral) via LoRA/fine-tuning for task-specific performance

• Implement function-calling and streaming responses for dynamic, low-latency user experiences

• Connect vectorized knowledge using Azure AI Search / FAISS / Chroma and build robust retrieval-augmented generation (RAG) pipelines

• Build and test event-driven architectures using Azure Service Bus, Event Hubs, and serverless platforms like Azure Functions & Logic Apps

• Own end-to-end model evaluation using LLM-eval, RAG benchmarks, prompt testing, and hallucination reduction strategies

Core Requirements

Architecture & Backend Skills

• Strong grasp of microservices and event-driven design

• Expertise in Azure Service Bus, Event Hubs, Azure Functions, Logic Apps

• Solid backend experience with FastAPI, Django REST, or equivalent

• Deep knowledge of Async IO, concurrency primitives (asyncio, trio) for scalable API design

AI/LLM Stack

• Experience with LangGraph, LangChain, or equivalent agent routing frameworks

• Experience building multi-step agents that stream, invoke tools, and track state

• Comfort with fine-tuning LLMs (LoRA, PEFT) on open-source models

• Deep experience with prompt engineering, evaluation frameworks, and RAG pipelines

• Practical implementation of vector databases like Azure AI Search, FAISS, or Chroma

Nice to Have

• Prior work with multi-agent orchestration and tool-switching logic

• Familiarity with observability for AI agents (tracing, logging, telemetry in distributed AI systems)

• Contributions to open-source LangChain / LangGraph or AI agent frameworks

• Familiarity with Microsoft Copilot stack, Azure OpenAI, or Cognitive Services

• DevOps familiarity with CI/CD and deployment on Azure Kubernetes or App Services

What You'll Get

• Opportunity to build cutting-edge AI systems with real enterprise impact

• Work directly with founders and top-tier customers across industries

• Freedom to experiment with latest OSS models and frameworks

• Transparent roadmap, fast execution, global product footprint

How to Apply

If you're passionate about connected AI systems, LLM agents, and solving real problems at scale — we want to hear from you. Send your GitHub/portfolio, a short note, and your favorite agent architecture idea.