
AI applied engineer - Voice first (Internship)
Remote · INInternshipSeen 1mo agoStill listed 2 days ago
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Job overview
The role seeks a candidate who has built AI pipelines and high‑quality conversational voice agents in Indian accent and multilingual settings, enjoys fast‑paced work, communicates smoothly, takes ownership, and is eager to grow within an education‑focused startup.
Skills & qualifications
Skills
Qualifications
Full job description
TL;DR This role is for someone who has… previously built AI pipeline and high quality conversational voice agents (STT/TSS) in Indian accent and multilingual, and wish to work in high pace environment. If this is you, READ ON!
👉 Application Form: https://forms.gle/izaG2ihm3eNikQri8 And iff you want to stand out, email me Loom demo and walkthrough of your top 2 projects.
Tenure: 4 to 6+ months Stipend: INR 25 - 40k per month Location: Remote / Bengaluru (Preferred) About us? We are the crazy ones — shaping education with a deep commitment to our students, building a generational company along the way, and having a blast doing it. We absolutely love people who communicate smoothly, take ownership naturally, and are eager to grow and move fast. What we are looking for:
- Prior Internship in AI/ML or quality projects done using Python/NodeJS
- Must have: Have built agentic workflows / AI pipelines
- Must have: Worked on AI voice agents, using STT/TTS
- Preferred: Worked on “natural sounding” conversation in Indian accent and multi lingual. American accent is easy!
- Bonus: Trained voice models
- Integrated tool calling with agents.
- Worked on “quality” retrieval RAGs or knowledge graphs.
- Have setup evals for benchmarking / monitoring production quality.
- Understands prompt engineering techniques
- Comfortable with github and google colab.
- Preferred: Fullstack skills • Can build dashboards/workflows using Claude code / codex.
- Basic backend skills - database, rate limiting, basics of security.
🔵 Note: This is a full-time internship. Flexibility is there only if you have a some classes per week. If your college schedule is not convenient, come in touch next semester. Responsibilities:
- Building pipelines, prepare high quality datasets with content team
- Research and implement appropriate approaches from research papers/blogs.
- Running AI experiments, fine tuning
- Keep yourself updated with evolving tech - new models, training techniques, tooling.
- Important: We thrive on smooth communication, ownership and agility. It’s a must.
🔵 Important: We thrive on smooth communication, ownership and agility. It’s a must.
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