AI applied engineer - Voice first (Internship)
Superkalam · superkalam.com
IndiaRemoteInternInternship
The job in short
Voice AI engineering internship.
PythonAgenticPrompt engineering
Details
- Found
- 21 d ago · posted 2024-02-13
- Location as listed
- IN / Remote (IN)
- Role
- Intern / Trainee
- Source
- The company’s own careers site
Full 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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