Prompt Engineer
Canada - Remote
- Remote-first
- Website
- @mappedin 𝕏
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Who we are and what we do
Mappedin is a global leader in indoor mapping and spatial data management. Our solutions power billions of square feet of indoor space and guide millions of people visiting malls, stadiums, airports, offices, healthcare facilities, warehouses, universities, and more. We're making maps as powerful indoors as they are outdoors. With custom enterprise solutions, easy-to-use developer tools, and a revolutionary self-service mapmaking platform, we enable our customers to enhance indoor experiences, optimize spaces, track assets, and ensure public safety with AI-powered mapping technology.
For more information about mappedin, visit mappedin.com
To try out our mapping tools, visit https://app.mappedin.com/editor/
As the Prompt Engineer you will develop, fine-tune, and optimize strategies to enhance the performance of mappedin’s internal systems. You’ll work closely with engineering teams to improve the efficiency and accuracy of AI systems that power our internal workflows, tools and processes. Your role will directly impact the way internal teams interact with AI tools, ensuring smooth operations, streamlined processes and robust system performance across the organization.
Responsibilities:
- Develop and optimize prompt strategies to guide AI models in understanding internal user queries with accuracy and context awareness.
- Collaborate with the engineering team to train AI models using high-quality, context-specific prompts, improving efficiency, and adaptability for internal users.
- Implement strategies for ongoing refinement of prompt-engineered models, based on internal feedback, performance metrics, and emerging trends in natural language processing.
- Collaborate with software engineers, product designers, and product specialists, to integrate AI-driven features seamlessly into internal tools and processes. Conduct testing of AI models with varying prompt inputs to ensure reliable performance across diverse internal use cases.
Keep up-to-date with advancements in AI, machine learning, and NLP, applying new techniques to enhance internal systems and processes.
Qualifications:
- Education: Bachelor’s degree in Computer Science, Linguistics, Data Science, Engineering, or a related field.
- 32Required Skills:
- Strong problem-solving skills with a passion for optimizing AI systems.
- Ability to work with cross-functional teams to understand business requirements and translate them into effective AI solutions.
- Excellent communication and collaboration skills.
- Proven experience in AI/ML, NLP, or conversational AI technologies.
- Hands-on experience with prompt engineering or similar roles in AI model training and optimization.
- Familiarity with large language models (LLMs) and their application in real-world systems.
- Experience in data integrations with various business systems such as Hubspot, Slack, Jira, and data warehouse systems such as BigQuery, Snowflake, etc.
- Experience working with ETL
- Experience with cloud-based AI services (AWS, Azure)
- Understanding of user experience design and how prompt engineering impacts user interaction.
- Knowledge of spatial intelligence and geospatial data integration.
- Experience in designing and testing AI models in production environments.
What are some challenges?
We move fast and pivot as needed. We operate with experimental mindsets and are constantly pushing the boundaries of our industry. Because of this, we can’t guarantee exactly what you’ll be working on three months from now but we can guarantee that you will be working on high value projects that will foster your growth along with mappedin’s. One of our core values is playing for the team. This means that we’re constantly balancing our own goals with the needs of the organization and jump in to help others whenever needed.
We follow the Test Driven Development methodology to write code that is testable, tested, and only does what it needs to do. We don’t expect you to be an expert in TDD when you start, but we do expect you to become one. You also own the quality of your own work, and we expect you to prove that with your own integration and end to end tests.
There is a lot of discovery work involved as we frequently do things that are ahead of current technology. We also encounter tough problems that require a lot of math. It’s not a requirement for this role, but if you enjoy solving interesting geometry problems, we’d love to have your input.
Behind the scenes
We run an agile development process designed to give our developers as much uninterrupted development time as possible. Most days the only meeting you’re looking at is the morning standup.
We use a variety of technology and tools that currently include TypeScript, React, Jest, Three.js, Vite, Node.js, Postgres, MongoDB, and Docker.
Mappedin is a remote first company, but also offer the ability to collaborate in person at our Waterloo and Toronto offices. We have a flexible vacation policy and ensure you have the equipment required to unleash your potential. We will do what it takes to get things done and hold each other accountable. We stay curious, take risks, and learn from mistakes. We’re competitive and we like to win together.
We welcome applications from people with disabilities. We provide reasonable accommodations for candidates upon request through the recruitment process. For additional information, please email us at accessibility@mappedin.com or call us at (519) 594-0102 and ask to speak to a member of the Human Resources team.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure BigQuery Computer Science Conversational AI Data management Data warehouse Docker Engineering ETL HubSpot Jira Linguistics LLMs Machine Learning Mathematics Model training MongoDB NLP Node.js PostgreSQL Prompt engineering React Snowflake TDD Testing TypeScript
Perks/benefits: Career development Flex hours Flex vacation Startup environment
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