AI-Driven Musicians Internship

Location :

Hyderabad (Work from Office)

Duration :

6 months (project-based, extendable)

Engagement : Internship

About the Program

People Tech is expanding into the Entertainment domain, driven by our CEO’s vision to blend artistic creativity with AI innovation. As part of this initiative, we are launching a

strategic internship program for Musicians

who are passionate about experimenting with AI tools to create original music for the next generation of entertainment projects.

This internship offers a unique opportunity to co-create music and immersive content that will be part of real entertainment IPs.

Key Responsibilities

Explore, experiment, and produce music using

AI composition tools

(Suno, AIVA, Soundraw, Amper, etc.) along with traditional DAWs / software (Ableton, Logic Pro, FL Studio).

Collaborate with writers to transform concepts into

complete audio-visual experiences .

Adapt music for multiple formats – short-form (ads, reels, jingles) and long-form (tracks, background scores).

Research and integrate

emerging AI music trends

into projects.

Qualifications – Who Can Apply

Students pursuing or graduates in

Music, Performing Arts, Sound Engineering, Fine Arts , or related fields.

Basic knowledge of instruments (keyboard, guitar, percussion, etc.) or DAWs (Ableton, Logic Pro, FL Studio, GarageBand).

Proven

passion for music

and interest in AI-assisted music creation.

Innovative, experimental, and eager to push tech-driven creativity.

Strategic Impact of the Internship

Build

AI-first creative workflows

in music production.

Generate

original entertainment IPs

for People Tech’s projects.

Gain

direct visibility with CEO-level initiatives .

Establish yourself as an

early mover in AI + Entertainment careers .

Engagement Model

Duration :

2–6 months (flexible based on project cycles)

Mode :

Work From Office (Hyderabad)

Stipend :

Fixed stipend + performance-based incentives

Benefits :

Internship Certificate, Portfolio credits, Industry exposure in AI-driven Entertainment