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.
