Full Stack Software Engineer

Company Summary :

ELGO AI is a fast-growing startup redefining how enterprises build and deploy AI. We offer a powerful no-code enterprise-grade GenAI platform that enables organizations to create custom LLM-powered applications such as chatbots, smart document workflows, and automation agents 10x faster than traditional methods. Abstracting away the complexities of a production GenAI system, we aim to simplify enterprise AI adoption by making advanced GenAI capabilities accessible to non-technical teams. We are passionate about workflow orchestration, context-aware agents, full transparency and observability layer, scalable designs and enterprise-grade deployment, all grounded in responsible, secure, and user-centric design. Our vision is to become the go-to operating platform for practical AI solutions in Asia Pacific.

Job Description:

As a Full Stack Software Engineer, you'll be instrumental in developing and maintaining our suite of AI-powered applications. Your role involves working across the full technology stack, from database management to front-end development, ensuring seamless integration and functionality. You will be at the heart of our small but elite development team, contributing directly to projects and product strategy that embody our commitment to ethical AI and user-centric design.

The ideal person for the role would love the fast-changing and dynamic environment, working with new technologies and translating that into real world impact. He/she would also enjoy the opportunity to work on multiple real-world LLM systems, and constantly push him/herself to be better. He/she is would also be extremely proactive, both in working and learning.

Caution: this is likely going to be the toughest role ever you would have in your life, but it could also be the most rewarding.

Roles & Responsibilities:

• Design, develop, and maintain full-stack AI applications.

• Collaborate with cross-functional teams to translate business needs into technical specifications.

• Implement responsive UI/UX designs for an optimal user experience.

• Develop and maintain databases and server-side applications.

• Ensure code quality, sustainability, and scalability.

• Troubleshoot, debug, and upgrade existing software.

• Stay up-to-date with emerging trends in software development and AI technologies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.

• Proven experience as a Full Stack Developer or similar role with at least 2 years of relevant working experience.

• Knowledge of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript). Main frontend:

• Familiarity with back-end languages (e.g., Python, Ruby, Java, Golang). Main backend: Golang

• Experience with database technology (e.g., PostgreSQL, MongoDB, NoSQL DBs).

• Good working knowledge of Cloud Platforms (e.g. Azure, AWS, GCP) and DevOps (CI/CD, Docker).

• (Optional) Good understanding of AI and Gen AI technologies and concepts.

• Customer-centric mindset.

• Strong problem-solving skills and willingness to learn new technologies.

• Excellent communication and teamwork skills.

• Prior experience in developing custom enterprise solutions highly preferred.

• Willing to proactively voice opinions and thoughts on the business.

• Self-driven and proactive learner.

What We Offer:

• A front-row seat to building the next generation of enterprise GenAI tooling and real-world applications.

• The opportunity to be part of a small but elite team of Asia's most promising GenAI startups.

• Exposure to real-world challenges and impactful deployments.

• A supportive and transparent team environment that values outcomes over hours. No politics, full focus on solving real problems.

• Growth opportunities across product, engineering, AI and R&D.

The Interview Process:

• There will be a total of 3 rounds of interview:

o 1st round: 30 minutes of general Q&A with the CEO

o 2nd round: 60 minutes technical session, where you will be given a real problem and is required to code out the solution within 30 minutes. Technical Q&A for the remaining time.

o 3rd round: 15 minutes for work arrangements and compensation package discussions.