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)