AI Prompt Engineer
Posted Updated 18
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Summary
Design and refine prompts to steer large language models for enterprise use cases like support, content, and operations, collaborating with AI teams to integrate and test them.
This is a remote position.
SoftSnow is an AI Strategy & Execution Partner that helps mid-market companies build AI-first businesses through Human + AI collaboration. We work alongside client teams to identify valuable opportunities, build practical AI solutions, and support the changes in how people work that make adoption last.
Our approach (Discover, Design & Deliver) combines business discovery and AI readiness assessment with solution design, implementation, and Guided Transformation. We help clients strengthen their data and processes, establish responsible AI practices, and equip employees with the skills and confidence to use AI effectively. Success means measurable business outcomes and sustained adoption, guiding clients from business priorities through execution and ongoing improvement.
Position Overview
SoftSnow is seeking a highly analytical and creative individual to join our team as an AI Prompt Engineer. In this role, you’ll work at the forefront of generative AI, crafting precise, high-impact prompts that drive the behavior of large language models (LLMs) across a wide variety of enterprise use cases. This role is ideal for those with a deep understanding of language, context, and AI interaction dynamics who want to shape how AI agents respond, create, and support users.
You’ll collaborate with Trainers, Integrators, and Product teams to optimize prompts, test variants, and ensure consistent, grounded outputs aligned with client objectives. If you’re excited by the nuances of human-AI language and eager to build prompt libraries that power intelligent systems, this role is for you.
Key Responsibilities
- Develop reusable prompt templates for client use cases such as customer support, content creation, internal operations, and data summarization.
- Conduct A/B tests on prompt variations to evaluate model responses and iterate toward optimal performance.
- Collaborate with AI Trainers and Integrators to embed prompts into AI workflows, memory systems, and RAG pipelines.
- Refactor and maintain prompt libraries to reflect updated knowledge, tone guidelines, and client branding.
- Stay up to date on emerging prompt engineering techniques, LLM behavior research, and advances in foundation models.
Requirements
Education:
- Bachelor’s degree in Linguistics, Computer Science, Communications, or a related field.
Experience:
- 1–3 years of experience working with LLMs, conversational AI systems, or NLP applications.
- Hands-on experience with tools such as OpenAI, Claude, Anthropic, or similar.
- Demonstrated success crafting effective prompts across multiple use cases.
Knowledge, Skills & Abilities:
- Exceptional language intuition and understanding of prompt-response dynamics.
- Ability to abstract task requirements into prompt formats that steer AI behavior.
- Familiarity with context window limits, tokenization, and RAG methodology.
- Strong critical thinking and experimental mindset.
- Proficiency in Python or other scripting languages is a plus.
- Excellent collaboration and documentation skills.
Benefits
What We Offer:
- Hands-On AI Learning - No AI consulting background needed. You’ll learn from a team of experts and gain fluency in the fastest-growing industry in the world.
- Outsized Career Growth - We’re scaling fast. Early team members have a real path to leadership as the company grows.
- High-Caliber Team - Work alongside smart, driven colleagues in a positive, low-ego environment where everyone pulls their weight.
- Executive Exposure - Regularly interface with C-suite leaders and department heads at major companies - visibility you wouldn’t get at a larger firm for years.
- Flexible Work Environment - Remote-first with a results-driven approach.
