Applied AI Engineer Intern

InterviewGod (ATGworld Networks Pvt Ltd)

United States

Remote

USD 18,000 - 32,000

Full time

2 days ago
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Job summary

InterviewGod (ATGworld Networks Pvt Ltd) offers an opportunity to build applied AI systems and grow toward a Forward Deployed Engineer role. The program touches Bengaluru, Dubai, and global client work across India, GCC, US and UK, with InterviewGod and Vidya projects live and expanding.

Commit to 8–10 hours daily for about 12 months, with challenging work and limited handholding. Assessment-based progression determines initial compensation and a one-year development roadmap.

Responsibilities

  • Deliver AI applications from the outset; existing development ability is expected.
  • Develop system-design, architecture, TDD, scalability and client problem-solving skills.
  • Clarify incomplete requirements, assess trade-offs, justify decisions and deliver solutions.
  • Potential engagements span India, GCC, Europe and US enterprises.

Job description

About the opportunity
  • Build applied AI systems while developing toward a Forward Deployed Engineer position.
  • The group references Bengaluru and Dubai operations.
  • Its portfolio includes Banao client engineering, InterviewGod hiring, Vidya learning/careers, Vikaas GTM intelligence and Axon organisational memory.
  • Banao serves over 350 clients across India, GCC, US and UK; InterviewGod and Vidya are live, Vikaas is early-stage and Axon is being developed.
What you'll do
  • Deliver AI applications from the outset; existing development ability is expected.
  • Develop system-design, architecture, TDD, scalability and client problem-solving skills.
  • Clarify incomplete requirements, assess trade-offs, justify decisions and deliver solutions.
  • Potential engagements span India, GCC, Europe and US enterprises.
Who can apply
  • Final-year students, students with a completed internship, recent graduates and engineers with 1–2 years' experience.
  • College reputation, CGPA and previous internship brands are not selection priorities.
  • Demonstrate substantial projects, rapid learning, independent ownership and fluent English.
  • Question assumptions, explain technical reasoning and use AI/LLMs to address knowledge gaps.
Practical details
  • Commit 8–10 hours daily for approximately 12 months, covering projects and structured learning.
  • Expect demanding work and limited handholding; candidates must be comfortable challenging senior colleagues or clients.
  • Compensation depends on demonstrated ability and progression, without a published fixed figure.
Application process
  • Apply, complete one task and undergo assessment of your reasoning and implementation.
  • Successful assessment determines initial compensation and a one-year development roadmap.
  • Shortlisting generally takes 1–2 weeks; the employer prioritises building and learning over compensation-first motivation.

Note: Complete the assessment task after applying. Shortlisting generally takes 1–2 weeks.

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