Forward Deployed Platform Engineer Intern

About Voxaloom

Voxaloom is an early-stage technology startup building a voice-first, AI-powered social platform focused on intelligent conversations, personalized feedback, language learning, and meaningful connections. We aim to make communication more engaging and accessible through AI and technology.

About the Role

We are looking for four curious and motivated Forward Deployed Platform Engineer Interns to work closely with our founding team. You will contribute to real product development, solve technical challenges, and help build, integrate, deploy, and improve the platform. This opportunity is suitable for students, freshers, and aspiring engineers who enjoy learning by building. Professional experience is not mandatory; practical projects and a strong willingness to learn are welcome.

Key Responsibilities

• Develop and improve backend services, REST APIs, and platform features.
• Integrate databases, application services, and third-party APIs.
• Explore and implement LLM-powered features, conversational AI, and agentic workflows where appropriate.
• Support data flows, authentication, and service integrations.
• Test, debug, deploy, and improve application reliability.
• Translate product requirements into practical technical solutions.
• Investigate technical issues and document implementations.
• Collaborate with the founding team on engineering priorities and product improvements.

Requirements & Tech Stack

• Pursuing a degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Basic proficiency in Python, JavaScript, or TypeScript.
• Understanding of HTTP, REST APIs, Git, and database fundamentals.
• Good problem-solving and debugging skills.
• Curiosity about AI engineering, backend systems, and platform development.
• Clear communication, accountability, and willingness to learn independently.

Nice to Have

• Experience with FastAPI, Node.js, PostgreSQL, or Supabase.
• Familiarity with cloud services, Docker, CI/CD, or deployment workflows.
• Exposure to LLM APIs, retrieval-augmented generation (RAG), tool calling, or AI agents.
• Personal projects, hackathons, open-source contributions, or a GitHub portfolio.

Internship Details

• Location: Remote, India.
• Duration: To be confirmed with shortlisted candidates.
• Stipend: The amount and payment terms will be communicated transparently before candidates accept an offer.
• Benefits: Practical project experience, technical mentorship and feedback, collaboration with the founding team, and portfolio-relevant contributions.