LLM Engineer

About Precision AI

Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.

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 

Not Sure You Meet Every Requirement?

Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.