Description
LLM Engineer
Location: Calgary
Department: Artificial Intelligence
Location Type: HYBRID
Employment Type: FULL_TIME
Role Overview
The LLM Engineer at Precision AI will focus on building and improving an internal large language model platform used across the company. This role is centered on applied LLM development, including prompt design, fine-tuning, evaluation, and internal tooling.
This is an early-career role designed for someone who wants to deepen their expertise in large language models while working closely with senior AI engineers. Over time, this role is expected to grow into a broader AI Engineer position, expanding into additional ML domains and production responsibilities.
You will work in a supportive, research-informed environment with strong mentorship, clear technical guidance, and room to experiment.
This role is hybrid working out of our Calgary office.
Key Responsibilities
Large Language Model Development (Primary Focus)
- Support the development of an internal LLM system used for research, operations, and internal tooling
- Assist with prompt engineering, structured prompting, and prompt evaluation
- Work with retrieval-augmented generation (RAG) pipelines using internal documents and datasets
- Help fine-tune and adapt existing foundation models using supervised fine-tuning and parameter-efficient methods
- Contribute to experimentation with open-source LLMs and reasoning-oriented models
Experimentation, Evaluation & Learning
- Run experiments to evaluate model quality, reliability, and failure modes
- Help define and track evaluation metrics for LLM outputs (accuracy, consistency, usefulness)
- Read and summarize relevant research papers, blog posts, and tooling updates
- Prototype ideas and iterate quickly under guidance from senior engineers
Engineering Foundations & Tooling
- Write clean, well-documented Python code following team standards
- Contribute to internal tools and scripts that support LLM workflows
- Use version control (Git/GitHub) and follow basic CI/testing practices
- Work with APIs and services that integrate LLM capabilities into internal systems
Collaboration & Growth
- Work closely with senior AI engineers and cross-functional partners
- Participate in code reviews and technical discussions
- Contribute to internal documentation and knowledge sharing
- Gradually take on more responsibility as skills and confidence grow
Relevant Experience
- 0–2 years of experience in AI, ML, or software engineering roles (internships count)
- Hands-on experience experimenting with large language models (e.g., via Hugging Face, OpenAI-style APIs, or open-source models)
- Familiarity with concepts such as prompting, fine-tuning, embeddings, and RAG
- Strong Python fundamentals and basic software engineering practices
- Curiosity and willingness to learn modern ML tooling and research
Bonus (not required)
- Exposure to PyTorch or similar ML frameworks
- Experience working with vector databases or search systems
- Coursework or projects involving NLP or LLMs
What You Bring
- Strong interest in large language models and applied AI
- Comfort learning through experimentation and iteration
- Ability to ask good questions and incorporate feedback
- Clear communication and documentation habits
- Motivation to grow into a more advanced AI engineering role over time
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