Full Stack Engineer cum AI Developer

AI-Focused SaaS Developer

• 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.

• 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:

Job Type:

Timing:

Salary:

Benefits:

We are an equal opportunity employer.