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AI Engineering Intern

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Position Title: AI Engineering Intern

Company: Kinship Labs

Location: Las Vegas, NV (In-Person)

Duration: 3 months

Hours: Full-time, Monday–Friday, 9:00 AM – 5:00 PM (40 hours/week)

Compensation: Paid Monthly Stipend

Level: Graduate (Master's preferred) or exceptional Bachelor's candidates

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Company Overview

Kinship Labs builds AI-powered relationship management software that helps organizations maintain personalized, human connections at scale. Our platform automates multi-channel communication (SMS, Email) while preserving authentic engagement through intelligent AI agents. We serve education, healthcare, and customer success teams managing hundreds to thousands of relationships.

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Position Description

The AI Engineering Intern will work directly with the engineering and product teams to build, optimize, and evaluate AI agents that power our platform. This is a hands-on role involving prompt engineering, LLM integration, conversation analysis, and building evaluation frameworks to ensure our AI systems perform reliably at scale.

Work Environment: Full-time office setting with a small, collaborative team. The intern will have a dedicated workstation, access to professional AI tooling (Claude, OpenAI, etc.), and direct mentorship from senior engineers.

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Primary Responsibilities

  • Prompt Engineering & Optimization (50%)
  • Engineer and iterate on system prompts to improve AI agent response quality
  • Design context window strategies for multi-turn conversations
  • Optimize prompts for specific use cases: coaching, follow-ups, scheduling, FAQs
  • Document prompt strategies and build a library of effective patterns
  • Experiment with different models (Claude, GPT-5, etc.) for various tasks
  • AI Evaluation & Testing (35%)
  • Design and execute evaluation frameworks (evals) to measure AI performance
  • Analyze AI agent conversations to identify failure modes and areas for improvement
  • Build automated testing pipelines for prompt regression testing
  • Apply NLP techniques to assess conversation quality, tone, and sentiment
  • Create benchmarks and dashboards to track AI performance over time
  • AI Feature Development (15%)
  • Assist in building new AI-powered features (summarization, classification, extraction)
  • Integrate LLM APIs into production systems
  • Prototype new AI capabilities and present findings to the team

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Program Learning Objectives

By the end of this internship, the student will be able to:

  • Engineer production prompts — Design, test, and iterate on prompts that perform reliably across diverse inputs and edge cases
  • Evaluate AI systems rigorously — Build systematic evaluation frameworks to measure LLM performance on real-world tasks
  • Apply NLP in production — Translate academic NLP knowledge into practical conversation analysis and quality assessment
  • Optimize for cost and latency — Make informed tradeoffs between model capability, response time, and API costs
  • Use modern development workflows — Work with Git/GitHub, code review, CI/CD, and collaborative software development practices
  • Communicate technical findings — Present AI performance insights and recommendations to non-technical stakeholders

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Required Qualifications

  • Currently enrolled in or recently completed a Master's program in Computer Science, Data Science, or related field (exceptional Bachelor's candidates considered)
  • Coursework in NLP, machine learning, or AI
  • Familiarity with Python or JavaScript programming
  • Strong written and verbal communication skills

Preferred Qualifications

  • Experience with prompt engineering or building LLM-powered applications
  • Familiarity with evaluation frameworks (e.g., RAGAS, custom evals)
  • Understanding of embeddings, RAG architectures, or vector databases
  • Experience with Git and GitHub
  • Personal projects, research, or coursework involving LLMs or conversational AI

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Technical Environment

  • AI APIs: Claude API (Anthropic), OpenAI API
  • Languages: SQL, Python, JavaScript
  • Backend Context: Node.js, Express, Prisma ORM
  • Database: PostgreSQL via Supabase
  • Version Control: Git/GitHub
  • Communication: Slack

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The intern will receive:

  • Daily check-ins with progress review
  • Weekly 1:1 mentorship sessions
  • Direct access to senior engineers for technical guidance
  • Code review and feedback on all work

 

How to Apply

Please complete our formal application here:

👉 https://forms.gle/ppPMvmC4wZ1RCF856

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Path to Full-Time Employment

This internship is designed with a potential transition to a full-time role in mind. At the conclusion of the 3-month program, candidates who demonstrate strong performance may be offered a full-time position as a Data Scientist or Analytics Engineer at Kinship Labs.

Criteria for full-time consideration:

  • Consistent delivery of high-quality work throughout the internship
  • Strong collaboration and communication with the team
  • Demonstrated ability to work independently and solve problems proactively
  • Alignment between the candidate's career goals and Kinship Labs' business needs

Final hiring decisions will depend on mutual fit, business needs, and available funding at the time of evaluation. We are a growing startup and prioritize retaining talent that contributes meaningfully to our mission.