Generative AI Engineer — Enterprise LLM & Agentic AI

Iitjobs Inc.; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Iitjobs Inc. is seeking passionate AI Engineers to create next-generation enterprise AI solutions utilizing Generative AI, Agentic AI, and cloud-native technologies. Candidates will design and deploy AI applications, construct AI Assistants and Agentic AI solutions, and develop scalable microservices.

The role necessitates expertise in AWS Bedrock, large language models, and various AI methodologies. Collaboration with product, engineering, and data teams is essential to deliver innovative AI applications.

Responsibilities

• Design and deploy enterprise-grade AI applications using AWS Bedrock.
• Build AI Assistants, Copilots, Agentic AI solutions, and RAG platforms.
• Develop scalable AI services and microservices architectures.
• Integrate LLMs with enterprise systems and business workflows.
• Build and optimize AI platforms with observability, governance, and security.
• Collaborate with Product, Engineering, DevOps, and Data teams to deliver innovative AI solutions.

Skills

AWS Bedrock & Foundation Models

Generative AI & Large Language Models (LLMs)

Agentic AI & Autonomous AI Workflows

Retrieval-Augmented Generation (RAG)

LangChain, LangGraph, LlamaIndex

Vector Databases (Pinecone, OpenSearch, Weaviate, ChromaDB, FAISS)

Python, FastAPI, REST APIs

Kubernetes, Docker & Microservices

MLOps & AI Model Lifecycle Management

Prompt Engineering & Semantic Search

Intelligent Document Processing (IDP)

CI/CD, DevOps & Cloud-Native Development

Job description

Iitjobs Inc. is seeking passionate AI Engineers to create next-generation enterprise AI solutions utilizing Generative AI, Agentic AI, and cloud-native technologies. Candidates will design and deploy AI applications, construct AI Assistants and Agentic AI solutions, and develop scalable microservices.

The role necessitates expertise in AWS Bedrock, large language models, and various AI methodologies. Collaboration with product, engineering, and data teams is essential to deliver innovative AI applications.