Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.
As an Lead AI Solutions Engineer, you will work with a cross functional team at the intersection of science, product, and engineering.
Responsibilities:
Develop zero-to-one concepts for expert systems.
Systematically discover and test prompt engineering best practices.
Optimize data sets for prompt development, model training and evaluation.
Help create and maintain infrastructure required for efficient prompt development.
Test and assess open-source solutions for LLM application development including orchestration frameworks, tool interfaces, solutions for context management, etc.
Develop automated techniques for the design and evaluation of AI agents.
Analyze usage data to gauge the effectiveness of AI solutions and iteratively improve.
Stay up to date with the latest research and emerging tech for AI Engineering.
Master’s degree in CS/ML/DS or a bachelor's with equivalent experience.
7+ years of transferrable experience in natural language processing (NLP).
Basic familiarity with the architecture and operation of large language models.
Strong desire to work closely with subject matter experts on real world use cases.
Active interest in emerging research and industry trends around AI software development.
Proficiency in python and AI development tools.
A mindset for good experiment design and evaluation; strong analytical and critical thinking.
Excellent communication and organization skills.
Preferred Qualifications:
Experience working on legal AI systems (e.g., for contract analysis, legal research, or drafting).
Domain knowledge in legal, tax, or accounting. A law degree (J.D.), paralegal experience, etc.
A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
Experience developing NLP applications involving NER, information retrieval, text summarization, question answering, or similar.
Knowledge of MLOps and the end-to-end lifecycle of software applications involving AI models.
Competitive Salary
Healthcare Benefit Package
Career Growth
