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.
• Required 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

• 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