AI Engineer Intern
Indexed description
AI Engineer: Internship
Role: AI Engineer Intern
Experience: 2+ years (internship/co-op or equivalent hands-on project experience)
Location: Remote / Hybrid
Type: Contractor
Start: Immediate (Within 30 days)
About the Company — Realbotix
Realbotix builds next-generation AI-powered humanoid robots and digital companions designed for natural, emotionally expressive interaction. Our mission is to make human–AI connection feel real—by combining advanced conversational AI, voice, computer vision, and robotics hardware into a customizable platform that can be deployed across consumer and enterprise experiences. At Realbotix, you’ll work at the intersection of software engineering + applied AI, shipping features that directly power realtime, embodied AI interactions.
About the role: (Must be able to start next 30 days)
We’re hiring an AI Engineer Intern with a solid software engineering base and real hands-on experience building with modern AI tools. You’ll help ship AI features across voice, LLM apps, real-time experiences, and creative AI workflows—with mentorship, clear deliverables, and exposure to production engineering practices.
What you’ll work on
- Build and improve LLM-powered features (chat flows, tool calling, structured outputs, routing).
- Assist with voice experiences (TTS/voice agent loops, latency improvements, streaming).
- Support realtime interactions (audio/video sessions, live agent experiences).
- Create image + creative AI pipelines (generation, enhancement, asset workflows).
- Help deploy and maintain lightweight services with strong documentation.
Key responsibilities
Implement integrations and workflows across:
- Voice: Solutions like ElevenLabs, Deepgram, and similar speech platforms (TTS/STT, streaming, latency tuning)
- LLMs & orchestration: OpenAI, Claude, plus routing/providers like OpenRouter prompting, tool-calling, structured outputs, evaluation)
- Model ecosystem: Hugging Face (model usage, embeddings, inference workflows, dataset/model management)
- Realtime experiences: Platforms like LiveKit (low-latency audio/video, realtime agent interactions, session reliability)
- Backend & data: Supabase (auth, Postgres, storage; building lightweight APIs for AI features)
- Web & deployment: Vercel, Hostinger, Ngrok (deployments, previews, secure tunnels, environment management)
- Collaboration & version control: GitHub (PRs, code reviews, CI/CD hygiene, documentation)
Requirements
- 2+ years of hands-on experience (internships, freelance, research, or substantial projects).
- Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field.
- Strong programming fundamentals and comfort shipping real features.
- Familiarity with APIs, authentication, debugging, and basic deployment.
- Experience using multiple AI tools/providers (voice + LLM + creative workflows).
- Ability to learn fast, communicate clearly, and work independently with guidance.
Nice to have
- TypeScript + Next.js familiarity (or strong frontend fundamentals).
- Python for scripting/evaluation pipelines.
- Basic knowledge of WebSockets/WebRTC or realtime streaming concepts.
- Familiarity with Supabase (auth, Postgres) and Vercel deployments.
What you’ll gain
Mentorship from engineers building real AI products.
Opportunity to ship production features and build a portfolio quickly.
Exposure to modern AI engineering: provider routing, latency/cost tuning, and shipping multimodal UX.
Expected Pay range
$25.00 - $55.00 an hour
Realbotix is an equal opportunity employer and makes employment decisions based on business needs, job requirements, and individual qualifications.
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