AI Prompt Engineer

Position Summary

We are seeking an AI Prompt Engineer to join a stellar team on a contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI‑assisted solutions for enterprise applications and internal business use cases.

Work Mode:
Hybrid – 2 days per week in‑office, with the flexibility to work remotely the remaining days.

• Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems.
• Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications.
• Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI‑assisted solutions.
• Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements.
• Work with users, software engineers, QA, and product teams to validate AI‑generated outputs and resolve reported defects, inaccuracies, or usability issues.
• Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences.
• Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval.
• Apply prompt engineering techniques such as role prompting, structured output design, few‑shot examples, chain‑of‑thought alternatives, tool‑use prompting, retrieval‑augmented generation patterns, and guardrail design.
• Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies.
• Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users.
• Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI‑enabled features.
• Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior.
• Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions.
• Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption.
• Lead small project teams or work streams focused on AI solution design, prompt optimization, or AI‑assisted application features.

• Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience.
• 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments.
• Hands‑on experience designing, testing, and improving prompts for large language models or generative AI tools.
• Experience with Java, SQL, Python, JavaScript/Type Script, or similar programming and scripting languages.
• Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices.
• Familiarity with AI concepts such as large language models, embeddings, retrieval‑augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety.
• Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies.
• Experience with development tools and environments such as Git Lab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines.
• Experience in SDLC development methodologies, including Agile.
• Strong analytical, troubleshooting, and problem‑solving skills with the ability to evaluate AI output quality and identify root causes of poor results.
• Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user‑facing instructions.
• Experience collaborating with cross‑functional teams, including business users, QA,…