Software Engineer with Data and AI Engineering

About the Position

We are looking for a Software Engineers with a strong background in data engineering and applied AI engineering. This role is part of a dual skill track where deep data engineering expertise is essential and hands on experience with AI enablement is expected. The candidate is expected to work from 8 AM to 5 PM New York Time.

About the Project

The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform. The new platform enables domain‑oriented data products, scalable analytics, and embedded governance, with AI‑based tools supporting data quality, anomaly detection, privacy, and compliance.

About the Team

You will be part of a cross functional team of data engineers, software engineers, and AI specialists working in close collaboration. The team follows an agile delivery model with shared ownership of design, development, and production support.

Responsibilities

• Design and develop scalable ETL and ELT data pipelines
• Build and maintain data orchestration workflows using Apache Airflow or similar tools
• Collaborate with AI engineers to integrate LLMs into data‑driven applications
• Develop RAG pipelines using embeddings and vector‑based search
• Optimize Snowflake data models for performance and cost efficiency
• Contribute to cloud native application design and deployment
• Support integration or development of MCP servers where applicable
• Collaborate closely with product, data, and platform teams

Requirements

• Mid‑level candidates with 4+ years and Senior candidates with 10+ years of professional experience in software or data engineering.
• Strong experience building production-grade data pipelines
• Experience with Snowflake
• Hands-on experience with Apache Airflow or similar orchestration tools
• Solid experience with Snowflake, including data modeling and performance tuning
• Advanced SQL skills and working knowledge of NoSQL databases
• Strong Python development experience
• Experience working in cloud environments Azure, AWS or GCP

Nice to Have

• Hands on experience with large language models
• Experience with retrieval augmented generation patterns
• Experience with embeddings and vector databases
• Experience using Streamlit or similar tools for GenAI interfaces
• Exposure to MCP server development or integration

Technologies

Python, SQL, NoSQL, Snowflake, Airflow, LLM/RAG, Flask, Streamlit, Azure/AWS/GCP