NLP Engineer

• AI/ML

• Remote

• Contract

Title: NLP Engineer
Start Date: Immediate
Position Type: Contract
Location: Remote across Canada/US
 
Overview:


We are seeking a technically skilled LLM Agent Developer to join an innovative AI initiative focused on scaling agent prototypes into production-ready deployments within the Azure ecosystem. This role is ideal for someone with strong experience in LLM-based agent development, Retrieval-Augmented Generation (RAG), and Azure cloud services, particularly in multilingual or localization-driven use cases.
 
Project Context:

• Prototypes are already developed from the ideation phase.
• The team has identified multiple localization use cases for expansion.
• Immediate goal: Build and deploy MVP agents using internal/custom data in Azure.
• The broader team includes developers, interns, and students.
• Collaboration will involve working with team members from multiple departments and mentoring junior contributors.

Key Responsibilities:

• Develop and scale LLM-based conversational agents from prototype to production.
• Implement RAG pipelines using internal/custom data sources.
• Deploy and manage AI workloads within Azure Cloud (e.g., Azure AI Services, Blob Storage).
• Write and maintain glue code and integration logic, preferably in Python.
• Assist and mentor interns and student contributors as needed.
• Collaborate with cross-functional teams to ensure smooth MVP delivery.

Required Skills & Qualifications:

• Proven experience in LLM-based agent development and RAG (Retrieval-Augmented Generation) design.
• Deep expertise in Azure Cloud services, including Azure AI, Blob Storage, etc.
• Strong programming skills in Python.
• Experience with deploying and scaling AI/ML solutions in cloud environments.
• Excellent collaboration and communication skills.

Preferred Qualifications:

• Familiarity with multilingual NLP or localization-related AI use cases.
• Experience mentoring or training junior team members.
• Exposure to understanding data pipeline development
• Data engineering background for scaling ingestion pipelines
• Experience with model evaluation and responsible AI practices.