Summary
✨ AI‑Generated
Join a software engineering team pioneering AI-assisted development. You will design and optimize prompts that guide coding assistants toward complete production-ready solutions while remaining hands-on across the full stack. Strong Python, FastAPI, PostgreSQL, React, and data-platform experience will help you translate technical designs into efficient AI-generated implementations.
Highlights
Combine prompt engineering with strong full-stack development to rapidly deliver production-ready software. The role emphasizes AI-assisted development, modern engineering practices, technical innovation, and responsibility for resilient, available products.
Description
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
A challenging, innovating environment.
Opportunities for learning where needed.
