Prompting and Context Engineer

1mind

77d•$100,000 - $150,000•Remote

About The Position

1mind is seeking a Prompt and Context Engineer to join their team. This role is responsible for developing optimal prompts and context management strategies for large language models (LLMs) within their platform, with a focus on subagents. The engineer will review conversations, edit complex prompts, create new agentic workflows, and document their work. The role is remote-first, with a preference for candidates in the Eastern or Central time zones. The company is building the next generation of revenue teams with an Autonomous Customer Experience platform.

Requirements

3-5 years of relevant experience in AI, LLMs, natural language processing, conversation design, or related fields.
Exceptional Communication Skills: Ability to quickly produce impeccable write-ups or slideshows documenting your work and educating others.
Mastery of LLM Prompting: Strong experience with LLM prompting, particularly with OpenAI and Anthropic models. This includes hands-on experience with APIs and mastery over prompt parameters and components—not just using ChatGPT or Claude.
Basic Coding Skills: Proficiency with quick prototyping and iteration. Comfort with interacting with APIs and incorporating them into your prototypes.

Nice To Haves

Copywriting, data science, and software engineering skills are a plus.

Responsibilities

Design the architecture for specialized subagents operating within a live customer conversation, including technical Q&A, product and pricing expertise, discovery, objection handling, demo selection, account research, compliance, and action execution.
Build routing and delegation systems that determine when to answer directly, invoke a subagent, run specialists in parallel, ask a clarifying question, use a tool, escalate to a human, or decline an unsafe action.
Define contracts between the primary conversational agent and its subagents: inputs, context boundaries, structured outputs, confidence, evidence, latency budgets, cancellation behavior, and failure handling.
Master Our Dialogue Platform: Become an expert, answer questions, and train others on prompting both within and outside of our platform.
Train our Superhumans: Use prompting, RAG knowledge-base creation, and fine-tuning to enhance our AI capabilities.
Prototype development: Create small-scale prototypes and ai-assisted coding to test complex prompting and data workflows.
Multi-media prompting: Develop prompting strategies and workflows that include various types of media (images, video, etc.), with a focus on LLMs and text embedding models.