Summary
✨ AI‑Generated
A Junior/Mid-Level AI Software Engineer role for someone with around 3 years of software development experience. You will build AI-powered applications and chatbots, integrate modern language models, develop backend APIs, create AI agents and automation workflows, and work with RAG, prompt engineering, embeddings, and tool calling. Experience with automation platforms and cloud deployment is beneficial.
Highlights
Opportunity to build practical AI-powered applications, chatbots, agents, and automation workflows while gaining hands-on experience with modern AI technologies and cloud deployment.
Description
About this role
We are looking for a Junior/Mid-Level AI Software Engineer with around 3 years of software development experience to help build AI-powered chatbots, applications, and automation solutions.
The ideal candidate has a solid software engineering background and hands-on experience or strong interest in modern AI technologies such as ChatGPT/OpenAI, Claude, GitHub Copilot, and AI automation tools.
Responsibilities
Build and maintain AI-powered chatbots and applications.Integrate OpenAI/ChatGPT, Claude, and other AI models into applications.
Develop APIs and backend services using Node.js, TypeScript, and Python.
Build AI agents and automation workflows for repetitive tasks and business processes.
Work with RAG, prompt engineering, embeddings, and tool/function calling.
Integrate applications with external APIs, databases, and third-party services.
Work with automation tools such as n8n, Zapier, Make, or similar platforms.
Deploy and maintain applications using AWS and/or Azure and CI/CD.
Test, debug, and improve AI features and automation workflows.
Collaborate with other developers and product team members.
Qualifications
Around 3 years of professional software development experience.
Experience with React, Node.js, TypeScript, and/or Python.
Some hands-on experience building AI applications, chatbots, AI agents, or automation workflows.
Familiarity with OpenAI/ChatGPT, Claude, GitHub Copilot, or similar AI technologies.
Basic understanding of LLMs, RAG, prompt engineering, and AI agents.
Experience working with REST APIs and databases.
Familiarity with AWS and/or Azure.
Familiarity with n8n, Zapier, Make, or similar automation tools is a plus.
Good debugging, problem-solving, and communication skills.
Willingness to learn and experiment with new AI technologies.
Compensation
Compensation will vary based on the candidate’s location, experience, technical skills, and overall strengths.
