Artificial Intelligence Engineer

Job Description : Junior AI Engineer / AI Engineer (AWS AI Stack)

Location : Remote (India)

Experience : 3+ Years

Availability : Immediate Joiners Preferred

Employment Type : Full-time

About the Role

We are looking for a highly skilled AI Engineer with strong hands-on experience across the AWS AI / ML ecosystem . You will design, build, and deploy AI systems, collaborate with cross-functional teams, and contribute to scalable, production-grade solutions using modern AWS-native tooling.

Key Responsibilities :

AI / ML Solution Development

• Build, deploy, and optimize machine learning models on AWS using SageMaker, Bedrock, Lambda, EC2, ECR, and Step Functions.
• Develop end-to-end ML pipelines (training, evaluation, deployment, monitoring).
• Implement vector search, embeddings pipelines, and LLM-based applications using Amazon Bedrock or open-source models.
• Build RAG (Retrieval-Augmented Generation) workflows using AWS services such as OpenSearch / Aurora / DynamoDB.

Data Engineering & MLOps

Backend & Integration

Cloud Architecture & Optimization

Required Skills & Experience :

Core AI / ML Skills

Programming

Data Engineering

Cloud & DevOps

Ironbook AI is a builder-led company focused on solving some of the hardest problems in enterprise AI : data activation, agentic automation, and autonomous data engineering. We operate a dual model — a product business developing AI-native systems like our autonomous data migration agent, alongside a high-impact consulting practice that delivers AI solutions for leading enterprises across APAC. Our teams work hands-on with AWS, Databricks, Confluent, MinIO and modern cloud ecosystems to ship real-world AI at scale. Join us if you want to build meaningful systems, push the boundaries of what AI can do, and help shape the next decade of enterprise technology.