AI Personality & Persona Research Intern
Research activation steering vectors, long-turn persona consistency, and multi-turn behavioral benchmarking under senior engineering mentorship.
Role Overview & Operational Scope
This is a high-intensity, project-based internship designed to turn promising students and graduates into elite AI research engineers. You will not fetch coffee; you will run experiments, author benchmarks, and contribute directly to production agent steering systems.
Key Responsibilities & Production Deliverables
- Design and run multi-turn conversation probes to measure persona fidelity across different LLM backends.
- Build synthetic evaluation datasets testing agent resilience against identity-inversion attacks.
- Assist senior architects in tuning activation steering vectors and system prompt scaffolds.
- Document experimental findings and maintain rigorous reproducibility logs in GitHub.
- Present weekly research findings directly to engineering leadership.
Mandatory Foundational Knowledge
- Foundational knowledge of Python programming, data structures, and basic object-oriented principles.
- Conceptual understanding of modern LLMs, tokenization, embeddings, and attention mechanics.
- Familiarity with Git version control and command line navigation.
Mandatory Practical Skills & Architecture
- Ability to write clean, readable Python scripts using standard data science libraries (Pandas, NumPy).
- Hands-on experience making API calls to LLM endpoints (OpenAI, Anthropic, Gemini, or open-source).
- Strong analytical writing skills for documenting bug reports and test results.
Problem Solving, Execution Rigor & Curiosity
- Genuine, burning curiosity about the inner workings of artificial neural networks.
- Eagerness to receive rigorous code reviews and rapidly incorporate technical feedback.
- High intrinsic motivation to build real-world software.
5-Day Live Technical Evaluation Milestone
5-Day Practical Milestone: Build a testing harness that probes a designated agent persona across 20 distinct dialogue scenarios, scoring stylistic consistency and flagging deviations (strictly 5 working days). Top performers receive immediate PPO confirmation.
Institutional Hiring Protocol: Candidates who pass initial resume screening are invited to a live, practical evaluation milestone spanning strictly not more than 5 working days. Verifiable completion and code audit by your assigned senior engineering mentor is the sole prerequisite for official corporate offer letter issuance.
Compensation, Total Rewards & Advancement
- Guaranteed paid monthly fellowship (₹15,000–₹25,000/month) with zero unpaid grunt work.
- Clear PPO conversion track to full-time AI Engineer (₹12,00,000–₹18,00,000 CTC).
- Direct 1-on-1 mentorship with senior AI architects and publication co-authorship opportunities.
- 100% remote flexibility with verified corporate completion certificate.
Dedicated Inquiries Inbox for This Role
Have questions regarding architecture scope or wish to share private research repos directly? Messages sent to this address route straight to the engineering leads reviewing this opening.
ai-personality-persona-research-careers@cehpoint.co.in
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