Full Stack Engineer

AINE AI is a deep-tech powerhouse dedicated to building software products where artificial intelligence isn't just a feature—it's the foundation. We provide sophisticated APIs and customizable hosted solutions that allow legacy systems and new ventures alike to seamlessly embed AI modules into their core workflows. At AINE AI, we are redefining efficiency and automation, empowering businesses to thrive in an AI-driven global market.

We are looking for a high-caliber Full Stack Engineer to join our engineering team in India. In this role, you will be responsible for the end-to-end development of web applications that interface directly with our proprietary AI engines. You will build robust back-end services, responsive front-end interfaces, and ensure the seamless integration of Machine Learning models.

The ideal candidate is a problem-solver who thrives in a fast-paced environment and is passionate about bridging the gap between traditional software engineering and the evolving world of Agentic AI and LLMs.

• Architect & Develop: Design and maintain scalable, secure, and high-performance full-stack applications.
• AI Integration: Implement and optimize AI/ML modules and APIs into production-ready software.
• Collaboration: Work closely with data scientists and product managers to translate complex AI requirements into functional technical specifications.
• Performance: Ensure the responsiveness of applications and the integrity of data flow between the UI, server, and databases.
• Quality: Write clean, maintainable, and well-documented code while participating in rigorous code reviews.

• Experience: Minimum 2+ years of professional experience in full-stack software development.
• Back-End Mastery: Proficiency in Python (Django/FastAPI) or Java (Spring Boot).
• Front-End Excellence: Strong experience with modern frameworks, specifically React or Angular, alongside HTML5, CSS3, and JavaScript/TypeScript.
• AI/ML Expertise: * Practical understanding of AI/ML concepts and model lifecycles.
• Experience integrating AI tools and LLM APIs (e.g., OpenAI, LangChain, Anthropic) into web workflows.
• Familiarity with vector databases or RAG (Retrieval-Augmented Generation) pipelines is a significant plus.
• Database Management: Solid experience with Relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Redis) databases.
• Cloud & DevOps: Hands-on experience with Cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.
• Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

• Experience with Agile/Scrum methodologies.
• Understanding of CI/CD pipelines and automated testing.
• A product mindset with the ability to think about the end-user experience in an AI context.