Responsibilities – AI Executive

Build and maintain AI-powered applications and automation workflows.

Develop and implement agentic AI workflows for business use cases.

Build RAG-based applications using vector databases.

Write clean, efficient, and maintainable Python code.

Integrate AI solutions with internal and third-party APIs.

Test, debug, and optimize AI applications.

Collaborate with cross-functional teams to deliver AI features.

Requirements Solid proficiency in Python and software development fundamentals.

Solid understanding of data structures, APIs, debugging, and system design.

Understanding of Generative AI and Large Language Models (LLMs).

Experience with agentic AI frameworks and workflows (e.g., LangGraph, CrewAI, AutoGen, or similar).

Comfortable using AI-assisted development tools such as Claude Code,



Codex, Cursor, or similar to improve productivity.

Ability to understand, review, debug, and modify AI-generated code rather than relying solely on AI for implementation.

Knowledge of prompt engineering.

Familiarity with RAG, embeddings, and vector databases.

Basic understanding of Git and REST APIs.

Good problem-solving and communication skills.

Preferred Experience building AI agents or AI automation projects.

Familiarity with LangChain or similar AI frameworks.

Knowledge of workflow automation tools such as n8n or Make.

Skills: python,ai executive,llm,langgraph,rag,automation

📌 AI Executive (India)
🏢 Scalex
📍 India