Full Stack Engineer cum AI Developer

We're looking for a highly skilled and innovative AI-Focused SaaS Developer to join our team. This role is perfect for a self-starter who excels at leveraging cutting-edge AI tools and platforms to rapidly develop, automate, and scale our Software as a Service (SaaS) application. You'll bridge the gap between traditional software development and AI / ML, driving efficiency and integrating intelligent features into our product.

Key Responsibilities SaaS Application Development : Rapidly design, develop, and iterate on our core SaaS application, focusing on efficiency and maintainability.

AI Tool Integration : Utilize AI-powered development tools such as Cursor, VS Code (with AI extensions) , and others to accelerate coding, debugging, and feature implementation.

Workflow Automation : Design, implement, and maintain complex internal and external automation flows using platforms like N8N, Zapier, and make.com .

Generative AI Integration : Integrate and fine-tune Large Language Models (LLMs) from leading providers, including OpenAI (e.g., GPT-4), Anthropic (e.g., Claude), and Google (e.g., Gemini) , to power intelligent features.

Advanced AI Capability Implementation : Develop and deploy advanced AI capabilities like Retrieval-Augmented Generation (RAG) using frameworks such as LangChain or similar orchestrators.

Knowledge & Research : Stay current with the latest developments in generative AI, LLMs, and AI research platforms (e.g., Perplexity) to identify and prototype new feature opportunities.

Required Skills & Experience Software Development : Strong foundational experience in full-stack software development, preferably in a modern tech stack (e.g., JavaScript / TypeScript, Python, Go, etc.).

AI-Powered Development Tools : Proven track record of using AI developer tools (e.g., Cursor, AI-enhanced VS Code, GitHub Copilot) to significantly improve development speed and code quality.

Automation Platforms : Extensive experience in creating sophisticated, multi-step automation workflows using platforms such as make.com, N8N, or Zapier .

LLM Ecosystem Knowledge : Deep, working knowledge of major LLM providers and their respective APIs, including OpenAI, Anthropic (Claude), and Google (Gemini) .

AI / ML Frameworks : Practical experience implementing RAG systems using frameworks like LangChain, LlamaIndex, or similar tools for context-aware applications.

Problem-Solving : Excellent analytical and problem-solving skills with a strong focus on delivering high-quality, scalable solutions.

Experience : 3+ Years

Job Type : Full-time

Timing : 5 days a week + First Saturday of the Month, Half Day.

Salary : ₹50,000 CTC per month.

Benefits : Health insurance

We are an equal opportunity employer.