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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and managing LLM prompting strategies, including the design of subagent architectures and workflows for AI-agent conversations. Proficient in diagnosing issues from transcripts and training others in effective prompting techniques.
Highest-signal resume keywords
LLM PromptingOpenAI ModelsAnthropic ModelsPython CodingConversation Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI AgentsPrompt ParametersData WorkflowsMultimodal PromptingProblem DiagnosisDynamic Prompt CreationAgentic WorkflowsRAG Knowledge-Base CreationFine-TuningSystem Prompt Reading
Soft Skills
Strong Command Of LanguageTeaching AbilityProactive Leadership
Tools & Technologies
LLM APIsDialogue PlatformAI-Assisted Coding
Industry Keywords
Conversation DesignSubagent ArchitectureComplianceAction ExecutionObjection Handling
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop optimal prompts and context management strategies for LLM tasks, focusing on subagents
- Review conversations with Superhumans and feedback to edit and author complex, dynamic prompts
- Create agentic workflows for before, after, and during AI-agent conversations
- Design specialized subagent architecture for technical Q&A, product and pricing expertise, discovery, objection handling, demo selection, account research, compliance, and action execution
- Build routing and delegation systems for direct answers, subagent invocation, parallel specialists, clarifying questions, tool use, human escalation, and unsafe-action refusal
- Define contracts between the primary conversational agent and subagents, including inputs, context boundaries, structured outputs, confidence, evidence, latency budgets, cancellation behavior, and failure handling
- Become an expert in the Dialogue Platform and train others in prompting
- Train Superhumans using prompting, RAG knowledge-base creation, and fine-tuning
- Create small-scale prototypes and use AI-assisted coding to test prompting and data workflows
- Develop multimodal prompting strategies and workflows involving images, video, LLMs, and text embedding models
- Document work and teach others within the company
- Proactively lead initiatives after becoming established in the role
Requirements
What you’ll need- 3-5 years of relevant experience in AI agents, LLMs, conversation design, or related fields
- Strong command of language; ability to identify scripted, off-tone, or incorrect responses
- Record of diagnosing problems from transcripts and explaining how a fix worked
- Strong experience with LLM prompting, particularly OpenAI and Anthropic models
- Hands-on experience with LLM APIs and mastery of prompt parameters and components
- Comfort reading system prompts, working in a console, calling APIs, and incorporating them into prototypes
- Ability to write light code, such as Python
- Copywriting, data science, and software engineering skills are a plus
- Ability to work full-time in the U.S.; sponsorship question is included in the application
Benefits
Comp & perks- Stock options
- Company-paid benefits
- Equity
- Full range of benefits and perks
- Remote-first, fast-moving culture with ownership, autonomy, and impact from day one
- Professional growth through fine-tuning AI skills
- Supportive and inclusive work environment
