AI Engineer Intern

Job summary

Build and improve AI agents, RAG pipelines, LLM-powered applications, voice AI systems, and automation workflows. Contribute to projects involving AI interviewers, voice agents, document intelligence, and multi-agent systems.

Job details

← Open rolesopen Interview Episode AI Engineer Intern Posted Jun 23, 2026, 1:47 PM About This Role Description Join Soft Techniques as an AI Engineer Intern and work on cutting-edge AI systems used by real businesses. You will collaborate with our engineering team to build and improve AI agents, RAG pipelines, LLM-powered applications, voice AI systems, and automation workflows. You will gain hands-on experience with modern AI technologies including OpenAI, Claude, LangChain, vector databases, and real-time AI systems. This role is ideal for someone passionate about AI, eager to learn quickly, and excited to build production-grade applications. At Soft Techniques, you'll contribute to projects involving AI interviewers, voice agents, AI automation, document intelligence, and multi-agent systems. Requirements Strong fundamentals in Python and/or TypeScript Good understanding of data structures and algorithms Basic knowledge of machine learning and deep learning concepts Familiarity with Large Language Models (LLMs) and prompt engineering Understanding of REST APIs and backend development Experience with Git and collaborative development workflows Strong problem-solving and debugging skills Ability to learn new technologies quickly Good communication and teamwork skills Bonus: Experience with OpenAI, Claude, or other LLM APIs Experience with LangChain, LangGraph, or AI agents Familiarity with RAG (Retrieval Augmented Generation) systems Experience with vector databases such as Pinecone, pgvector, or ChromaDB Familiarity with FastAPI, React, or Next.js Experience with voice AI technologies such as LiveKit, Twilio, Vapi, or ElevenLabs Experience with Docker, cloud platforms, or CI/CD Apply now Upload your resume, then start your AI voice interview. 1Resume 2Interview Applying for AI Engineer Intern. Your interview is voice-based and typically takes 15–20 minutes.

What you’ll do

Build and improve AI agents, RAG pipelines, LLM-powered applications, voice AI systems, and automation workflows. Contribute to projects involving AI interviewers, voice agents, document intelligence, and multi-agent systems.

Requirements

Candidates should have strong fundamentals in Python and/or TypeScript, knowledge of data structures and algorithms, and basic understanding of machine learning, deep learning, LLMs, and prompt engineering. They should also understand REST APIs and backend development, have experience with Git, and demonstrate problem-solving, debugging, communication, teamwork, and a willingness to learn.

Listed skills

• Teamwork · Preferred
• REST APIs · Preferred
• Problem solving · Preferred
• Machine learning · Preferred
• Communication · Preferred
• TypeScript · Preferred
• prompt engineering · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• TypeScript
• Data Structures And Algorithms
• Machine Learning
• Deep Learning
• Large Language Models
• Prompt Engineering
• REST APIs
• Backend Development
• Git
• Problem-Solving
• Debugging
• Communication
• Teamwork

Job areas

• Technology
• Software
• Engineering
• Data & Analytics