AI Prompt Engineer

Skills
Computer ScienceAdoptionContinuous ImprovementData AnalyticsDatabasesEasily AdaptableEnterprise Systems
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in Computer Science Data Science Information Systems Engineering or equivalent 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 TypeScript or similar programming and scripting languages
  • Experience with APIs JSON structured outputs application integrations and enterprise software development practices
  • Familiarity with LLMs embeddings RAG 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 GitLab Jenkins Windows Linux application servers and CI/CD pipelines
  • Experience in SDLC development methodologies including Agile
  • Strong analytical troubleshooting and problem-solving skills
  • Strong written communication skills for prompts documentation requirements and user instructions
  • Experience collaborating with cross-functional teams including business users QA developers architects product owners and security or compliance partners
  • Experience mentoring members of development or technical teams

Nice to have

  • Enterprise AI experience
  • Responsible AI mindset
  • Secure prompt design
  • Cross-functional leadership
  • Mentoring ability
  • Adaptable

Day to day

  • Design and optimize prompts workflows and AI-assisted solutions for enterprise applications and internal use cases
  • Collaborate with software engineers product owners QA teams business stakeholders and data and AI teams to deliver reliable secure and scalable AI capabilities
  • Test debug document and improve prompt performance while supporting governance responsible AI practices and production monitoring

Hiring process

  • Submit application
  • Human review of application
  • Interview process