Prompt Engineer Intern

Profile

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.

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.

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.

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.

Join the awesome squad. Apply now!