AI-Native Engineer (Software Engineering)

Deliver features and workstreams within your engagement, from prototype through to production, with support from senior engineers.

Contribute to fullstack development across frontend and backend.

Build AI-powered systems that deliver measurable client value.

Participate in code reviews, testing, and quality assurance.

Support DevOps workflows and contribute to CI/CD pipelines.

Flag risks and blockers early rather than sitting on them.

Work directly with client teams and build trust with technical and non-technical stakeholders.

Engage with clients to understand requirements and help shape solutions.

Communicate your thinking clearly: in the room, in writing, and in the code.

Bring field feedback to the team to sharpen how we deliver.

Embrace AI-native ways of working, including AI-first development, testing, and documentation.

Apply prompt and context engineering, output validation, and critical review of AI-generated code.

Stay curious about emerging GenAI tools and bring practical ideas back to the team.

2-5 years of professional software development experience.

Experience with ReactJS for frontend development.

Experience with Node.js, Java, or .NET for backend development.

Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor), professionally or through substantial personal projects.

Solid understanding of programming fundamentals and design patterns.

Strong problem-solving, communication, and collaboration skills.

Comfortable working in cross-functional teams and engaging with stakeholders.

You are open to learning new stacks. We work across different client environments, languages, frameworks, and cloud platforms (Azure, AWS, GCP), and with AI as a learning tool, picking up something new is easier than ever. You don't need to tick every technology box; curiosity goes a long way.

Demonstrated initiative and ownership: you drive outcomes rather than wait for instructions.

TypeScript and modern JavaScript.

RESTful APIs, microservices, and cloud-native architectures.

Experience with cloud platforms (AWS, Azure, GCP).

DevOps practices and CI/CD pipelines.

Consulting or client-facing delivery exposure.

Experience building with LLMs or generative models.

Our clients include some of the world's most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.