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Prompt Engineering Jobs in Alberta (NOW HIRING)

AssetWorks

Senior Full-Stack Developer

Calgary, AB · On-site

Lead the integration of LLMs via Kiro, focusing on prompt engineering, model parameter tuning, and performance monitoring. * Fine-Tuning: Identify opportunities where fine-tuning specific models can ...

Modaxo, Inc.

Embedded Software Engineer

Calgary, AB · On-site

Familiarity with prompt engineering or structured AI workflows in a technical context preferred Education and Experience: * 2+ years of hands-on embedded software development in C++ * Minimum of1 ...

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Prompt Engineering information

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What jobs pay $2000 a day?

In the field of prompt engineering, high-paying roles such as AI consultant or senior AI specialist can potentially earn $2000 or more per day, especially for freelancers or contractors with specialized skills in large language models and prompt design. These positions often require extensive experience, advanced knowledge of AI tools, and a strong portfolio of successful projects.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of natural language processing.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or large organizations.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Which 3 jobs will survive AI?

Prompt engineering is a specialized role that involves designing effective prompts for AI systems, and it is expected to remain relevant as AI advances. Jobs requiring complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and mental health counselors—are also likely to persist because they involve skills that AI cannot easily replicate. Additionally, roles in AI oversight, ethics, and policy development will continue to be important to ensure responsible AI use.
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Alberta as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Senior Full-Stack Developer

Senior Full-Stack Developer

AssetWorks

Calgary, AB • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:

We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won't just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.

Job Description:


We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won't just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.

Job Details:

What You'll Do

  • Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
  • Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
  • LLM Integration & Optimization: Lead the integration of LLMs via Kiro, focusing on prompt engineering, model parameter tuning, and performance monitoring.
  • Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
  • System Orchestration: Build and manage AI middleware that connects LLMs to SQL, Oracle, enterprise data sources, and third-party APIs.
  • Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.

What We're Looking For

Required:

  • AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
  • Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
  • Database Expertise: Strong proficiency in SQL and Oracle (or other relational databases),
  • Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
  • Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.

Nice to Have:

  • Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
  • Experience with microservices architecture
  • Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
  • Experience mentoring or leading other developers

Worker Type:

Regular

Number of Openings Available:

1

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