Senior AI Engineer

Role Overview

• The Senior AI Engineer (Specialist) plays a pivotal role in designing, developing, and deploying GenAI/LLM, NLP and agentic AI solutions.
• Collaborates with cross-functional teams to transform structured + unstructured healthcare data into LLM-enabled products.
• Responsible for end-to-end delivery for AI workstreams from scoping to deployment/ monitoring.
• Leads feature engineering strategy; mentors juniors and performs code reviews on top of being hands on.
• Build and maintain reusable ML accelerators for standardization.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Machine Learning, NLP, or related field.
• ~8–10 years of industry experience building production systems (with at least 2–3 years in NLP/LLM or applied ML engineering).
• Strong proficiency in Python/ Pyspark and SQL for working with large, complex datasets.
• Experience in defining evaluation taxonomies and acceptance criteria across initiatives.
• Strong knowledge of neural network patterns, specifically Transformer architectures, Large Language Models (LLMs), and Small Language Models (SLMs).

Tech Stack

• PySpark
• Python
• SQL

Benefits

• Do meaningful work with us.
• Competitive health insurance.
• Professional development opportunities.