Job Specifications
Job Title: LLM Engineer
Location: Toronto, ON
Duration: 12+ Months
Job Role:
We are looking for an LLM Engineer to help build and optimize multiple AI agent frameworks that streamline procurement, predict optimal options, and autonomously execute tasks on behalf of users.
As an integral part of our AI team, you will develop, fine-tune, and deploy large language models, ensuring they deliver accurate and actionable insights. This role requires a combination of strong technical expertise and an ability to collaborate with business teams to drive impactful AI solutions.
Responsibilities:
Develop and implement LLM-powered AI agents to optimize procurement workflows.
Fine-tune foundation models for domain-specific applications.
Build and maintain pipelines for data processing, model training, and inference.
Work closely with business stakeholders to understand requirements and ensure AI solutions align with strategic goals.
Evaluate model performance and apply prompt engineering, RAG (retrieval-augmented generation), and other techniques to enhance accuracy and efficiency.
Collaborate with cross-functional teams, including data engineers and procurement specialists, to integrate AI agents into business processes.
Must Haves:
Master’s degree in Mathematics, Physics, Computer Science, or a related field (PhD in LLM or NLP research is a plus).
1-3+ years of experience working with LLMs, NLP, or AI-driven automation.
Professional LLM focused experience, with knowledge in the end-2-end development and deployment of AI Agents.
Proficiency in Python, PyTorch, TensorFlow, LangChain, LangGraph and Hugging Face.
Experience in fine-tuning large-scale models and optimizing inference efficiency.
Familiarity with vector databases, knowledge graphs, and prompt tuning.
Strong problem-solving skills and ability to translate business needs into AI solutions.
Excellent communication and presentation skills, with the ability to explain AI concepts to non-technical stakeholders.
Nice to have:
Experience working with GCP (Google Cloud Platform) and AI/ML tools.
Knowledge of multi-agent systems and reinforcement learning.
Education from any of the following is a huge plus; University of Toronto, University of Waterloo, McGill University, McMaster University
Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.
About the Company
Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA's list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1. What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric st...
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