Jr. AI Engineer

Purple Hires Inc is seeking a Jr. AI Engineer to support rapid GenAI prototyping and AI-assisted software development. The role emphasizes building functional prototypes and proof-of-concepts using LLMs, AI agents, and modern full-stack frameworks.

Responsibilities

• Use AI coding assistants such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, and similar tools to convert ideas into functional prototypes, AI-powered applications, internal tools, and proof-of-concepts.
• Work with LLMs, AI agents, RAG, MCP servers, APIs, and modern full-stack frameworks.
• Collaborate with product, UX, and engineering teams to help translate requirements into working builds.

Requirements

• 2-3 years of software development experience, including candidates with strong academic, internship, personal, or open-source project experience.
• Strong programming foundations in Python, JavaScript/TypeScript, Node.js, or Golang.
• Basic hands-on experience with React, Next.js, REST APIs, Git, and GitHub.
• Hands-on familiarity with AI-assisted development tools including Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, or Replit AI.
• Fundamental understanding of Generative AI, LLMs, Prompt Engineering, AI Agents, and RAG.
• Basic understanding of MCP (Model Context Protocol) and how AI agents can interact with tools, APIs, and external systems.
• Exposure to building AI/LLM-based applications, chatbots, workflows, or proof-of-concepts through academic, internship, personal, or open-source projects.
• Understanding of APIs, JSON, web services, and basic application architecture.
• Familiarity with Git-based development and software engineering practices.
• Strong analytical and problem-solving skills with the ability to learn new technologies quickly.
• Curiosity and enthusiasm for experimenting with emerging AI tools, frameworks, and developer productivity technologies.
• Ability to balance rapid development with code quality, security, maintainability, and engineering best practices.

Preferred / Good-to-Have Skills

• Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar AI/agent frameworks.
• Familiarity with vector databases, embeddings, semantic search, and RAG implementations.
• Basic exposure to Docker, Kubernetes, AWS, Azure, or GCP.
• Experience integrating AI applications with enterprise systems, databases, or third-party APIs.
• Experience with MCP servers, tool calling, function calling, or agentic workflows.
• Personal projects, GitHub contributions, hackathons, or academic projects involving GenAI, LLMs, or AI agents.
• Ability to use AI coding tools to rapidly convert ideas into functional prototypes or demos.
• Strong product mindset and ability to translate a problem into a working technical solution.
• Comfort working in a fast-paced environment involving rapid experimentation, ambiguity, and continuous learning.

Technologies

• Languages/Frameworks: Python, JavaScript/TypeScript, Node.js, Golang, React, Next.js
• APIs/Platforms: REST APIs, Git, GitHub
• AI Development Tools: Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, Replit AI
• GenAI/LLM Concepts: Generative AI, LLMs, Prompt Engineering, AI Agents, RAG, MCP (Model Context Protocol)
• Libraries/Frameworks: LangChain, LangGraph, CrewAI, AutoGen
• Data/Search: vector databases, embeddings, semantic search
• Infrastructure/Cloud: Docker, Kubernetes, AWS, Azure, GCP
• Data/Formats: JSON, web services

Compensation and Schedule

• Pay: $18.00 - $20.00 per hour
• Expected hours: 40.0 per week

Experience

• AI Coding: 1 year (Required)

Location

• Work location: Remote