
Artificial Intelligence Systems Developer
2 weeks ago
We are seeking a skilled Prompt Engineer to join our team in an exciting role at the forefront of Generative AI transformation. As a Prompt Engineer, you will work at the intersection of software development and artificial intelligence, using tools like GitHub Copilot, Claude Code, Windsurf, and other LLM-driven systems to prompt, refine, supervise, and guide AI-generated code.
You will design systems end-to-end and oversee implementations from prototype to enterprise-scale deployments. Your key responsibilities include crafting effective prompts and workflows to guide AI models in producing accurate, maintainable, and secure code, as well as designing, evaluating, and refining AI-generated outputs to meet software and business requirements.
Key Responsibilities:
- Craft effective prompts and workflows to guide AI models in producing accurate, maintainable, and secure code
- Design, evaluate, and refine AI-generated outputs to meet software and business requirements
- Architect scalable enterprise-grade applications using AI-assisted development practices
- Build rapid prototypes and iterate quickly using GenAI tools, then refine toward production quality
- Integrate AI into existing software delivery pipelines and DevOps processes
- Perform rigorous code reviews of both human-written and AI-generated code
- Maintain documentation, prompt libraries, and reuse patterns for internal efficiency
- Collaborate cross-functionally with product owners, designers, and engineers
- Mentor team members in effective prompt engineering practices
- Champion ethical and responsible AI usage in engineering workflows
Requirements:
- Degree or Diploma in Computer Science, Software Engineering, Artificial Intelligence, or related fields
- Prior experience in software engineering with demonstrable use of AI tools in code generation, testing, or optimization
- Experience leading or mentoring in AI-enhanced development teams is a plus
Technical Skills:
- Proficiency with AI-assisted coding tools such as GitHub Copilot, Claude Code, Windsurf, Cursor, or similar
- Strong grounding in full-stack development and ability to validate AI-generated code across frontend, backend, and infrastructure
- Familiarity with modern web frameworks (e.g. React, Next.js, Node.js, Go, Python)
- Solid understanding of cloud platforms (AWS, Azure, GCP) and cloud-native architecture
- Experience with containerization (Docker), CI/CD, and version control workflows (Git, GitHub Actions)
- Working knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases
- Exposure to secure software development practices and LLM safety
Soft Skills:
- Critical thinking and attention to detail when reviewing AI-generated code
- Strong verbal and written communication to collaborate with both technical and non-technical stakeholders
- Growth mindset and comfort with experimentation and rapid iteration
- Ability to translate vague or abstract requirements into concrete prompts and implementations
- Curiosity and adaptability in the rapidly evolving landscape of generative AI
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