Senior AI Data Engineer

About the Company

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

About the Role

Role- Senior AI Data Engineer Location- NYC, NY- Hybrid FTE

Responsibilities

• Strong experience in Python application development.
• Strong background in data engineering, data analytics, BI, or data application development.
• Experience with cloud platforms and Kubernetes-based application/pipeline deployment.
• Strong hands-on experience building production-grade data pipelines.
• Strong understanding of data architecture, data processing, ETL/ELT, and data integration.
• Experience working with databases, data warehouses, and/or modern data platforms.
• Experience building data-facing applications or applications that interact directly with data and analytics platforms.
• Hands-on experience developing LLM-powered applications.
• Understanding of AI agent/harness engineering patterns and LLM application architecture.
• Experience working with APIs, databases, data platforms, and enterprise data sources.
• Cloud development experience with Kubernetes-based deployment.
• Strong software engineering fundamentals including Git, testing, CI/CD, and production deployment.
• Demonstrated ability to work independently and take ownership from requirements through delivery.
• Strong analytical, troubleshooting, and communication skills.

Qualifications

• Required Qualifications
• Experience with agentic AI, LLM orchestration, RAG, or tool-using agents.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience with vector databases and retrieval pipelines.
• Experience integrating LLMs with enterprise data platforms.
• Experience building dashboards, analytics applications, self-service data applications, or other data-centric user experiences.
• Experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.