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Prompt Engineer
jobgether · Canada
About The Role
- **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Prompt Engineer based in Canada.**
- This role offers the opportunity to shape the future of AI-powered customer experiences by designing and optimizing intelligent agent interactions.
- You will work at the intersection of natural language processing, machine learning, and enterprise technology to improve AI performance for complex business use cases.
- The position focuses on creating, testing, and refining prompts that enable AI systems to deliver accurate, reliable, and context-aware responses.
- You will collaborate with cross-functional teams, including data scientists and customer-facing specialists, to build tailored AI solutions.
- This is an impactful opportunity for someone passionate about emerging AI technologies, experimentation, and continuous innovation.
- The ideal candidate combines technical expertise, analytical thinking, and creativity to improve how organizations leverage generative AI at scale.
### Accountabilities
The Prompt Engineer will be responsible for developing, optimizing, and evaluating AI prompts and workflows to enhance the performance of enterprise AI solutions. Key responsibilities include:
- Design, create, and refine client-specific prompts to improve accuracy, relevance, and effectiveness of AI-powered interactions.
- Develop tool descriptions and configurations for agentic AI frameworks to improve system capabilities and user experiences.
- Test and optimize prompts through structured experimentation, automated evaluation scripts, and performance analysis.
- Evaluate and benchmark large language models to identify the best approaches for specific customer requirements.
- Build evaluation frameworks and establish best practices for prompt quality, reliability, and scalability.
- Collaborate with customer success teams, data scientists, and technical stakeholders to deliver customized AI solutions.
- Maintain clear documentation covering prompt strategies, optimization processes, testing results, and implementation guidelines.
- Research advancements in NLP, generative AI, and prompting techniques to continuously improve AI capabilities.
- Experiment with new methodologies and adapt strategies based on evolving AI models and technologies.
## Requirements
The ideal candidate has a strong foundation in artificial intelligence, natural language processing, and software development, with experience applying AI techniques to real-world applications. Required qualifications include:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Linguistics, Computational Linguistics, or a related field.
- Strong understanding of natural language processing concepts and machine learning principles.
- Hands-on experience designing, writing, optimizing, and evaluating AI prompts.
- Proficiency in programming languages such as Python.
- Familiarity with AI and machine learning frameworks and libraries, including tools such as TensorFlow, PyTorch, or Hugging Face.
- Strong analytical and problem-solving skills with the ability to evaluate AI outputs and identify improvement opportunities.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with multidisciplinary teams and manage multiple projects simultaneously.
- Minimum of 5 years of professional experience in data science is preferred.
- Experience working with large language models such as GPT-3, GPT-4, Llama, or similar technologies is a strong asset.
- Knowledge of data visualization techniques and tools is beneficial.
- Experience with agile development methodologies is an advantage.
## Benefits
The role offers the opportunity to contribute to innovative AI solutions while working in a flexible and collaborative environment. Benefits include:
- Fully remote work opportunity.
- Opportunity to work on cutting-edge generative AI and enterprise automation projects.
- Exposure to large-scale AI implementations with global organizations.
- Collaborative environment with experienced AI, data science, and technology professionals.
- Opportunity to contribute to the development of next-generation AI products and workflows.
- Continuous learning and innovation-focused culture.
- Inclusive workplace committed to diversity and equal opportunity.
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