AI Enabled Full Stack Developer

We are building an AI-Native Engineering team and are looking for full stack engineers who use modern AI tools as a core part of how they design, build, and ship software. You will partner with product managers and architects to take the lead on operational and technical projects, working with minimal supervision to deliver high-quality software aligned with user needs and business goals.

The ideal candidate automates where they can, treats prompt engineering as a craft, and consistently moves from concept to working software at pace. If this describes you, we would like to hear from you.

• Strong bias toward automation and efficiency
• Comfortable in rapid, iterative environments
• Curious and proactive in adopting new tools and approaches
Able to move from idea prototype
• production quickly
• Focused on outcomes and speed, not just code quality
• Excellent organizational and problem-solving skills

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

• Take ownership of end-to-end solution delivery, including design, development, testing, and deployment
• Develop software in collaboration with AI tools to accelerate delivery and improve code quality
• Drive rapid prototyping and iteration cycles
• Design systems that integrate with AI services, APIs, and automation workflows
• Produce clean, efficient, well-tested code with strong design and architecture
• Identify, prioritize, and execute tasks across the software development lifecycle
• Review and debug code; perform validation and verification testing
• Automate tasks through appropriate tools and scripting
• Develop flowcharts, layouts, and documentation to identify requirements and solutions
• Document development phases and monitor production systems
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software stays current with the latest technologies
• Apply secure coding practices throughout the SDLC (OWASP Top 10, input validation, authentication, secrets management, vulnerability remediation)

• Leverage AI tools (Claude, GitHub Copilot, Cursor) to design, develop, test, and document software
• Apply prompt engineering and structured prompting techniques to generate code, test cases, and technical documentation
• Build and optimize workflows that integrate AI into the software development lifecycle
• Design and execute AI-assisted testing strategies, including automated test generation and edge-case simulation
• Use AI tools to identify bugs, vulnerabilities, and performance issues
• Collaborate with QA to implement continuous, AI-driven testing pipelines
• Critically evaluate AI-generated outputs and ensure production-quality standards
• Contribute to internal AI-assisted development frameworks and reusable patterns
• Continuously evaluate and adopt emerging AI development tools and practices

• Minimum 5 years of proven experience as a Full Stack Software Engineer
• Extensive hands-on experience in software development, scripting, and Agile/Scrum methodology
• Demonstrated ability to work independently with minimal supervision from Software Architects
• BSc/BA in Computer Science or a related degree

• Strong command of core languages and frameworks: Node.js, TypeScript, React, C#, Python, Flutter
• Solid understanding of JSON, REST, and OpenAPI spec
• In-depth knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (Cosmos DB, MongoDB)
• Familiarity with Windows and Unix operating systems
• Understanding of secure coding practices

• Hands-on experience using AI-assisted coding tools (Claude, Copilot, Cursor)
• Understanding of prompt engineering and structured prompting techniques
• Ability to validate and refine AI-generated outputs
• Familiarity with AI/LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• Experience building automation workflows or internal tools using AI

• Experience with DevOps tools (e.g., Azure DevOps) and automated testing frameworks
• Experience building AI-powered applications (chatbots, copilots, automation tools)
• Familiarity with vector databases, embeddings, or RAG architectures
• Experience integrating AI into enterprise workflows
• Excellent organizational and leadership skills
• Analytical mind with strong problem-solving aptitude