InterviewGod (ATGworld Networks Pvt Ltd)
Applied AI Engineer Intern
- Eligibility
- Students & recent grads
- Batch
- Not stated
- Experience
- 1–2 years
- Stipend
- Not stated
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About this role
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.