Role: AI Data engineer
Visa: NO H1B GC
Build & Own Data Systems
Design and maintain scalable data pipelines (batch and real-time)
Ensure data quality, consistency, and reliability across systems
Eliminate “gray areas” between upstream and downstream data
Ship AI-Driven Features
Partner with product and engineering to deliver AI-enabled functionality
Deploy, monitor, and troubleshoot LLM-based and ML systems in production
Focus on shipping reliable outputs, not just experimentation
Operationalize & Validate
Productionize models and workflows into robust, maintainable systems
Build validation frameworks and sanity checks for output quality
Improve observability, performance, and system reliability
Work Through Ambiguity
Translate loosely defined problems into clear technical solutions
Make pragmatic tradeoffs and clearly communicate decisions
Execute quickly while maintaining a high quality bar
What We’re Looking For
Technical Background
Strong experience in data engineering, including:
Building and maintaining pipelines
Experience with Spark or similar distributed systems
Proficiency in Python, SQL, and modern data platforms
Experience operationalizing data systems and/or models in production
Exposure to AI/ML systems, including:
Working with or integrating LLMs or modern AI tools
Understanding of probabilistic systems and LLM fundamentals
Using AI tools to accelerate development and problem solving
Solid statistical intuition:
Ability to reason about data quality, anomalies, and outputs
How You Think
Product-oriented: Focused on outcomes, not tasks
Critical thinker: Naturally validates outputs and assumptions
Pragmatic: Leverages existing tools vs. over-engineering
Adaptable: Comfortable in a fast-moving AI environment
Collaboration & Communication
Clear, proactive communicator with strong follow-through
Able to explain how and why you approach problems
Comfortable working cross-functionally with product, engineering, and data teams
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Regards, Sasikumar
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Address: 15 Corporate Pl S, Suite #450, Piscataway Township, NJ 08854 Email: sasi....@intellyk.com | Website: www.intellyk.com
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