Modern Software Engineer

About the job

The world of software development is rapidly evolving, and the traditional boundaries between frontend and backend development are dissolving. We're looking for a Modern Software Engineer who thrives in this new landscape—someone who leverages AI to build full-stack solutions, understands that development is becoming increasingly unified, and adapts quickly to emerging technologies and methodologies.

This isn't just a developer role; it's a position for someone who sees AI as their development companion, who can build across the entire stack when needed, and who understands that the future belongs to developers who augment their capabilities with intelligent tools and focus on solving business problems.

What you'll do

• AI-enhanced development: Leverage AI development tools (Claude, ChatGPT, GitHub Copilot, Cursor, etc.) to accelerate coding, debugging, and problem-solving.

• Full-Stack problem solving: Build end-to-end solutions without being constrained by traditional frontend/backend boundaries.

• Modern development practices: Implement scalable, maintainable solutions using contemporary frameworks and tools. Write clean, efficient code with AI assistance while maintaining code quality and understanding. Participate in code reviews with both human colleagues and AI-assisted analysis. Contribute to architectural decisions and technical strategy. Being able to translate business concepts into software solutions.

Required skills & experience

• Core development: 3+ years of software development experience with modern programming languages

• Strong proficiency in Python 3.X+ with frameworks like FastAPI, Flask, or Django

• Experience with JavaScript/TypeScript and modern frontend frameworks (React, Vue, or similar)

• Understanding of databases (PostgreSQL, MySQL) and experience with ORMs like SQLAlchemy

• Familiarity with cloud platforms and deployment practices

• AI-enhanced workflow: experience using AI development tools to enhance productivity and code quality

• Understanding of prompt engineering and how to effectively collaborate with AI assistants

• Experience integrating AI/ML capabilities into applications (APIs, model integration, etc.)

• Knowledge of AI development best practices and limitations

• Modern development stack: experience with version control (Git) and collaborative development workflows

• Understanding of containerization (Docker) and orchestration tools

• Familiarity with CI/CD pipelines and automated testing

• Knowledge of modern web development practices and performance optimization

Nice to haves

• Advanced AI integration: Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)

• Knowledge of vector databases and AI data storage solutions

• Understanding of MLOps practices and AI model deployment pipelines

• Familiarity with AI ethics and responsible AI development

• Extended tech skills: Experience with Kubernetes or other orchestration platforms

• Knowledge of microservices architecture and service-oriented design

• Frontend testing experience with tools like Cypress

• Understanding of browser performance, security, and cross-platform development

What we're looking for

• The AI-native mindset: you don't just use AI tools; you think strategically about how AI can solve problems. You understand when to leverage AI assistance and when to rely on fundamental development skills. You're excited about the future of development and actively experiment with new AI-powered workflows. You can evaluate AI solutions for genuine business value, not just technological novelty.

• Adaptive problem solver: you're comfortable working across different parts of the stack as projects demand. You balance speed of delivery with maintainable, quality code. You communicate effectively with both technical and non-technical stakeholders

• Growth-oriented professional: you stay current with AI/ML trends and development best practices. You contribute to team knowledge sharing and technical discussions. You're curious about emerging technologies and their practical applications. You can work independently while knowing when to collaborate or seek guidance

What we offer

• Modern work environment: flexible work arrangements with focus on results over hours

• Access to the latest AI development tools and technologies

• Continuous learning budget for AI/ML courses and conferences

• Collaborative team environment that values innovation

• Growth and development: opportunity to shape the future of development practices

• Work on challenging problems that leverage cutting-edge AI

• Mentorship and knowledge sharing across the team

• Direct impact on product development and business outcomes

• Competitive package: competitive salary reflecting modern development skills