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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building internal tools and customer-facing features using LLMs, with a strong focus on prompt engineering, model integration, and data-driven decision-making. Capable of rapidly prototyping solutions and effectively communicating with non-technical stakeholders.
Highest-signal resume keywords
LLM API ExperiencePrompt EngineeringVector Database UnderstandingFull Stack DevelopmentData-Driven Problem Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LLM APIsPrompt Engineering PatternsModel IntegrationFull Stack DevelopmentData AnalysisPrototypingQuality EvaluationFunction CallingStreamingFine-Tuning
Soft Skills
Strong Product InstinctEffective CommunicationStakeholder Engagement
Tools & Technologies
OpenAIClaudePineconeWeaviatePgvectorAPIsDatabasesCRMsSlack
Industry Keywords
AI ToolsCustomer-Facing FeaturesRAG PipelinesAgent WorkflowsModel Outputs
About the role
Key responsibilities & impact- Build internal tools and customer-facing features on top of LLMs (OpenAI, Claude, open-source models)
- Design and maintain prompt chains, RAG pipelines, and agent workflows
- Prototype rapidly — often going from idea to working demo in days, not sprints
- Evaluate model outputs, set up evals, and iterate on quality
- Wire AI into existing systems (APIs, databases, CRMs, Slack, etc.)
- Own the full stack of a feature — frontend, backend, model integration, deployment
Requirements
What you’ll need- Demonstrable proof of using AI to create value-additive tools and products
- Hands-on experience with LLM APIs (function calling, streaming, embeddings, fine-tuning)
- Understanding of vector databases (Pinecone, Weaviate, pgvector), prompt engineering patterns, and basic ML concepts
- Strong product instinct — able to talk to a non-technical stakeholder, understand the need, and build the right thing without a heavy spec
- Data-driven — willing to dig deep into the data, often creating new reporting, to find the root causes of problems that need solving
- Fluent English speaker
Benefits
Comp & perks- Home office setup
- Dynamic, fast-moving work environment
- Continuous training and professional development opportunities
- Stable employment with a U.S. company
- Generous PTO policy
