Prompt Engineer Intern

Job Summary

We are hiring a world-class Prompt Engineer, someone with extreme clarity of thought, deep reasoning skills, and hands-on mastery of modern LLM behavior. It is for someone who understands prompting as a science: evaluation, ablation, latency tuning, hallucination control, guardrails and AGI-aligned orchestration.

Responsibilities

• Design high-accuracy prompts for reasoning, extraction, classification, and multi-step workflows.
• Build robust system + user prompt architectures with strict constraints and safety layers.
• Run temperature, seed, sampling, and ordering ablations to achieve deterministic and stable performance.
• Optimize prompts for latency, consistency, cost, and token efficiency.
• Reduce hallucinations using verification loops, guardrails, retrieval control, and role conditioning.
• Architect governing instructions for multi-agent systems and AGI-aligned assistants.
• Build hierarchical prompt layers (system -> meta-controller -> task-level -> tools).
• Select models based on latency, throughput, context window, and domain-specific performance.
• Collaborate with AI engineers on quantization, distillation, caching, and runtime optimizations.
• Maintain versioned prompt libraries with clear documentation, reproducibility, and experiment tracking.
• Work closely with ML, product, and engineering teams to deliver production-grade, scalable prompt flows.
• Write clear technical documents: architecture diagrams, ablation summaries, evaluation reports, and runbooks.

Requirements

• Exceptional reasoning, logic structuring and analytical thinking.
• Ability to design deterministic, controlled, and testable prompts for production behaviour.
• Deep understanding of temperature, top-p, top-k, seed, max-tokens, repetition penalty, and their effects on model behaviour.
• Strong mastery of LLM guardrails, prompt-injection defense, role separation, Meta Logic, and system level prompt design.
• Solid understanding of modern LLMs and NLP systems (GPT, Claude, LLaMA, Qwen, Mistral, etc.).
• Knowledge of low-latency model families, quantization (GGUF, INT4/8), and inference trade-offs.
• Clear understanding of RAG, embeddings, vector DBs, including when not to use them.
• Ability to run evaluation pipelines (accuracy, F1, hallucination rate, consistency, JSON validity).
• Highly detail-oriented, structured thinker, fast learner.
• Strong communication, able to explain reasoning clearly and concisely.
• Comfortable building measurable experiments instead of intuition-based prompting.

What You'll Gain

• Deep exposure to real AGI workflows, multi-agent prompting, and large enterprise systems.
• Mastery in experimental prompting, evaluation science, and LLM orchestration.
• Opportunity to directly influence global flagship AI products across industries.
• Mentorship and collaboration with top engineers, AI researchers, and product innovators.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.