AI-Augmented Software Engineer at Blenheim Chalcot India

We are looking for a Senior AI-Augmented Software Engineer to join our team in India. As the landscape of software development shifts, we are embracing a future where Generative AI and tools like Cursor, Replit, Loveable, and GitHub Copilot redefine how we build products. This role is designed for someone who prioritizes logical thinking, systematic problem-solving, and rapid iteration over traditional technical specialism. If you are someone who enjoys identifying inefficiencies and using AI to craft sustainable solutions, we would love to have you on board.

What you'll be doing

• You will utilize AI-powered development tools to write, review, and refine code while managing the entire lifecycle of your projects.
• You will break down complex challenges into smaller, testable components and apply logical reasoning to ensure the maintainability of AI-generated outputs.
• You will adopt a rapid prototyping mindset, experimenting with various AI-driven approaches to deliver solutions that directly address customer needs.

What you'll bring

• A strong analytical mindset and a natural ability to think systematically.
• Proficiency in English to collaborate effectively with our cross-functional teams.
• A passion for continuous learning and a desire to master prompt engineering and new AI-assisted workflows.
• The ability to thrive in ambiguous environments where you can iterate on ideas rather than needing a perfect solution from the start.
• Experience or a deep interest in using AI tools to enhance efficiency and decision-making.

What you'll get

• The opportunity to work in an AI-first environment using cutting-edge technology to build software faster.
• A focus on high-level problem-solving and logical architecture rather than manual, repetitive coding.
• Direct involvement in creating products that have a tangible impact on our customers.
• A chance to future-proof your career by developing expertise in the AI-driven workflows that are shaping the industry.
• A collaborative culture that values experimentation, data-driven insights, and continuous improvement.