Senior AI Engineer — LLMs & Multi-Agent Systems

TeamLogicIT; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Industry-leading compensation

Job summary

TeamLogicIT is seeking an AI Engineer to design, build, and deploy production-grade LLM solutions on Azure for enterprise environments. The role emphasizes RAG pipelines, multi-agent workflows, and secure, scalable design across Jira, ServiceNow, CRMs, and ERPs.

You will drive MLOps, evaluation pipelines, and model fine-tuning while collaborating with clients to present technical concepts and ensure adoption. Strong English communication is required.

Qualifications

• 4–6 years hands-on experience building and deploying production-grade Generative AI / LLM solutions.
• Strong proficiency in Python for AI development, API integration, and backend services (FastAPI, RESTful APIs).
• Hands-on experience with LLM orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI, or LlamaIndex.
• Proven experience designing and deploying RAG pipelines with vector stores (ChromaDB, FAISS, Pinecone, Qdrant, or similar).
• Solid understanding of Azure AI services: Azure OpenAI Service, Azure AI Search, Azure AI Services, Azure Data Factory.
• Experience integrating AI systems with enterprise tools (Jira, ServiceNow, CRMs, ERPs) via REST APIs and webhooks.
• Strong understanding of LLM security guardrails, prompt injection risks, and data governance.
• Excellent English communication skills; ability to engage clients, run workshops, and present technical concepts clearly.
• 4+ hour overlap with U.S. Eastern Time (for remote India-based roles).

Responsibilities

• Design, build, and deploy production-grade LLM solutions, RAG pipelines, and agentic AI systems on cloud platforms (Azure).
• Architect and implement multi-agent workflows using LangChain, LangGraph, CrewAI, and AutoGen.
• Integrate AI solutions with enterprise systems via REST APIs and webhooks.
• Develop RAG pipelines with vector stores and semantic search over enterprise data.
• Lead MLOps practices: evaluation pipelines, drift monitoring, and performance triggers.
• Mentor junior engineers on prompt engineering, Python, and LLM best practices.

Skills

Python

LangChain

LangGraph

AutoGen

CrewAI

LlamaIndex

RAG pipelines

Azure

REST APIs

English fluency

LLM fine-tuning

ChromaDB

FAISS

Pinecone

Qdrant

OpenSearch

Docker

Git

Tools

ChromaDB

FAISS

Pinecone

Qdrant

LlamaIndex

Docker

Git

Job description

TeamLogicIT is seeking an AI Engineer to design, build, and deploy production-grade LLM solutions on Azure for enterprise environments. The role emphasizes RAG pipelines, multi-agent workflows, and secure, scalable design across Jira, ServiceNow, CRMs, and ERPs.

You will drive MLOps, evaluation pipelines, and model fine-tuning while collaborating with clients to present technical concepts and ensure adoption. Strong English communication is required.