Bangalore, Karnataka, India
Information Technology
Full-Time
Softobiz
Overview
Overview
We are building next-generation SaaS products that leverage the power of AI and LLMs to solve real-world problems at scale.
Were looking for a Full Stack Software Engineer who thrives in a fast-paced startup environment and is excited to take ownership of features end-to-end.
This role is perfect for engineers who are not just great at coding in React and Node.js, but also comfortable learning fast, making architectural decisions, and embracing modern AI-powered development tools like GitHub Copilot, Cursor, and Lovable.
What Youll Do
We are building next-generation SaaS products that leverage the power of AI and LLMs to solve real-world problems at scale.
Were looking for a Full Stack Software Engineer who thrives in a fast-paced startup environment and is excited to take ownership of features end-to-end.
This role is perfect for engineers who are not just great at coding in React and Node.js, but also comfortable learning fast, making architectural decisions, and embracing modern AI-powered development tools like GitHub Copilot, Cursor, and Lovable.
What Youll Do
- Build and maintain full-stack features using React.js / Next.js and Node.js / Nest.js.
- Design and develop scalable microservices and APIs.
- Work with both RDBMS (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) systems.
- Actively use AI-assisted development tools to accelerate and enhance coding workflows.
- Collaborate across teams (Product, Design, DevOps) to deliver high-quality features.
- Take complete ownership of modules and drive them from concept to deployment.
- Continuously learn and experiment with LLM-based APIs, automation tools, and best practices.
- 3- 5 years of hands-on full-stack development experience.
- Strong knowledge of React.js, Next.js, Node.js, Nest.js, and TypeScript.
- Solid understanding of SQL & NoSQL databases.
- Experience in designing and building RESTful APIs and microservices.
- Familiarity with cloud platforms (AWS, GCP, or similar) and CI/CD workflows.
- Fast learner with a proactive attitude and strong debugging/problem-solving skills.
- Hands-on experience with AI-powered tools like GitHub Copilot, Cursor, Lovable, Tabnine, etc.
- Exposure to LLMs, prompt engineering, or tools like LangChain/OpenAI APIs is a plus.
- Experience working in early-stage SaaS startups.
- Familiarity with product analytics, feature flags, and A/B testing.
- Contribution to open-source or personal side projects.
- Understanding of secure coding practices and performance optimization.
- The chance to work on fast-evolving SaaS products from day zero.
- A highly autonomous and ownership-driven environment.
- Opportunity to shape product and engineering direction.
- Access to cutting-edge tools and AI tech.
- Competitive salary, flexible hours, and equity options.
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