Prompt Engineer (AI -Driven Software Development)

• Help design, build and continuously improve the clients online platform.
  
  


• Research, suggest and implement new technology solutions following best practices/standards.
  
  


• Take responsibility for the resiliency and availability of different products.
  
  


• Be a productive member of the team.
  
  
  
  
  
  

Requirements

• 3+ years of software development experience.
  
  
  


• 1+ years of experience with AI coding assistants such as Databricks Assistant, GitHub Copilot, ChatGPT, Cursor, or Claude Code.
  
  
  


• Hands-on Prompt Engineer / AI Software Engineer with a strong full-stack development background who can leverage AI coding assistants such as Databricks Genie Code, GitHub Copilot, and ChatGPT to rapidly deliver production-ready software.
  
  
  


• Combine prompt engineering expertise with strong Python, FastAPI, PostgreSQL, React, and Databricks knowledge, with the ability to translate technical designs into structured AI prompts that generate complete end-to-end solutions.
  
  
  


• Design and optimize prompts for AI-assisted software development.
  
  
  


• Generate and validate full-stack solutions across: Database: PostgreSQL, Backend: Python/FastAPI, Frontend: React
  
  
  


• Review and refine AI-generated code for quality, security, and maintainability.
  
  
  


• Implement and maintain REST APIs and database schemas.
  
  
  


• Ensure compliance with security, RBAC, authentication, and coding standards.
  
  
  


• Support deployments on Databricks using DABs (Declarative Automation Bundles).
  
  
  


• Maintain technical documentation and architectural standards.
  
  
  


• Strong Prompt Engineering experience.
  
  
  


• Advanced Python and FastAPI development skills.
  
  
  


• Advanced PostgreSQL and SQL skills.
  
  
  


• Advanced JavaScript and React skills.
  
  
  


• Strong experience in REST API design and development.
  
  
  


• Experience with Git, Merge Requests, and CI/CD workflows.
  
  
  


• Experience working in cloud-based development environments.
  
  
  


• Strong code review and software quality mindset.
  
  
  


• Experience with Databricks Platform, Apps, Unity Catalog, and Lakebase PostgreSQL.
  
  
  


• Experience with Databricks Genie Code.
  
  
  


• Experience with Data Governance, Data Catalogs, or Metadata Management, Data Quality frameworks, OAuth, SSO, and RBAC implementations, YAML and Infrastructure-as-Code.
  
  
  


• Full-stack engineer with strong Python/FastAPI, React, PostgreSQL, and Databricks experience, along with practical experience using AI coding assistants to deliver software.
  
  
  


• Should be comfortable translating technical designs into structured prompts, validating AI-generated code, and working within an enterprise development and governance environment.
  
  
  

Benefits