Senior Prompt Designer

BOLD

Senior Prompt Designer II at BOLD defining prompt architecture and governance frameworks for consumer-facing tools. Collaborating with teams to design and implement advanced AI systems.

Posted 7/10/2026full-timeRemote • Arizona, California, Colorado, Connecticut, Florida, Illinois, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesSenior💰 $120,000 - $160,000 per yearWebsite

About the role

Key responsibilities & impact

Lead prompt framework design and strategy - defining end-to-end architecture, version control, CI/CD pipelines, and deployment playbooks for distributed teams.
Design complex, high-impact prompt systems including multi-agent and chain-of-thought architectures for resume builder flows across global product lines.
Partner with Engineering, Product, and Data to align prompt strategies with model selection, API cost reduction, performance budgets, and roadmaps.
Architect evaluation frameworks and safety guardrails to benchmark LLM outputs globally, minimizing hallucination, bias, and AI-sounding content.
Act as the cross-functional prompt design resource; translating requirements from Content, Engineering, Data, Product, and portal teams into production-grade implementations.
Spearhead R&D into emerging AI paradigms, evaluate new models and tooling, and provide clear adoption recommendations.
Mentor the prompt management team and contribute to building the function - structures, processes, documentation, and quality standards.

Requirements

What you’ll need

8+ years of professional experience with AI/ML systems, language technologies, or software product engineering.
4-5 years in prompt design or LLM product development, with a track record of shipping consumer-facing features at scale.
Mastery of advanced prompt design paradigms: RAG, multi-agent architectures, chain-of-thought, context window management, and model behaviour trade-offs.
Hands-on experience across LLM providers (OpenAI, Anthropic, Google) with clear understanding of behavioural differences and trade-offs.
Experience designing and maintaining LLM evaluation pipelines (LLM-as-judge, human eval, automated metrics) and prompt versioning workflows.
Strong instinct for naturalness, recognising and eliminating AI-sounding, repetitive, or generic output.
Demonstrated ability to influence cross-functional roadmaps and mentor prompt designers or AI content teams.

Benefits

Comp & perks

Competitive salary
Bi-annual bonus
401(k) plan with match
Equity in company
Flexible spending accounts (health, dependent care)
Internet and home office reimbursement
Medical, dental, and vision (optional plans for your family)
Life & long-term disability insurance (optional)
Mental health support and resources
Wellness reimbursement (gym, health apps, etc.)
Pet Insurance (optional)
Flexible PTO
Sick time policy
Observed holidays

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Advanced Prompt Design ParadigmsMulti-Agent ArchitecturesChain-of-ThoughtContext Window ManagementModel Behaviour Trade-OffsLLM Evaluation PipelinesPrompt Versioning WorkflowsAPI Cost ReductionPerformance BudgetsEmerging AI Paradigms

Soft Skills

MentoringInfluencing