Artificial Intelligence Engineer

Role: AI Data Engineer, Mumbai We are looking for a skilled

AI Data Engineer with 4-5+ years of experience to design, build, and optimize scalable data and AI pipelines. The role involves working on cutting-edge

AI/ML and GenAI solutions leveraging AWS and open-source ecosystems.

Key Responsibilities:

• Design, build, and optimize

scalable data pipelines on AWS (S3, Redshift, EMR, SageMaker) for AI/ML and real-time analytics use cases

• Develop and maintain

robust data processing workflows using Python, SQL, and Apache Spark

• Implement

modern data architectures (Lakehouse) ensuring high data quality, governance, and performance optimization

• Deploy and manage

offline LLMs (open-source models) for use cases like RAG, summarization, and intelligent automation

• Build and integrate

GenAI applications using AWS Bedrock and agent-based frameworks (Agent Core)

• Collaborate with data scientists and ML engineers to enable

feature engineering, model training, and deployment pipelines

• Optimize large-scale data systems for

scalability, reliability, and cost efficiency Key Requirements:

• 5+ years of experience in

Data Engineering / AI Data Engineering roles

• Strong hands-on experience with

AWS stack (S3, Redshift, EMR, SageMaker, Bedrock)

• Proficiency in

Python, SQL, Apache Spark

• Experience with

LLMs, RAG frameworks, and open-source AI models deployment

• Solid understanding of

data governance, data quality, and pipeline optimization

• Exposure to

Lakehouse architectures (Databricks / Delta Lake preferred)

• Strong problem-solving skills and ability to work in a collaborative environment

Good to Have:

• Experience in

real-time streaming (Kafka/Kinesis)

• Familiarity with

MLOps / LLMOps pipelines

• Exposure to

vector databases and embeddings (FAISS, Pinecone, etc.) Education:- B.E/B.Tech /MCA Only

(No Non Tech Qualification required)