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AI Engineer

Remote, United States

Our reputation as the world’s expert on hospitality sales enablement is based on our years of research, product innovation and a track record of consistently delivering exceptionally high return on investment to our customers. We have ambitious goals and are expanding our remote team with an eye towards new sales enablement products and technologies for our customers. We are looking for more team members who care passionately about doing a thing right and then seeing how to make it even better. 

This role can be based anywhere in the U.S.

What you can expect as an AI Engineer at Visiting Media:

In this role you will work to expand and scale Visiting Media's intelligent features across our SalesHub platform. You will play a hands-on role in shaping how we apply large language models (LLMs), automation, and AI-native tooling to accelerate both product value and internal enablement. You’ll be part of a small, fast-moving team with the freedom to experiment and the responsibility to ship. We’re looking for an engineer who is fluent in modern AI practices, excited to work with real product use cases, and comfortable owning AI workflows end-to-end; from data wrangling and prompt design to API integration and performance monitoring. We anticipate some of your overall responsibilities to be: 

  • Build and productionize AI-powered product features (e.g., smart tagging, content enrichment, AI-based UX workflows)
  • Design and manage RAG pipelines, embedding flows, and vector DB integrations
  • Write clean, observable, and efficient code to support AI systems in production
  • Collaborate with backend and frontend engineers to integrate AI models into user-facing applications
  • Contribute to prompt design, versioning, testing, and reuse patterns
  • Monitor and tune performance of LLM-based features (cost, latency, quality)
  • Partner with design and product to prototype intelligent UI/UX patterns
  • Work with data scientists (and future ML leads) to evolve internal AI frameworks and practices

What previous experience will likely set you for success:

  • 3+ years of professional software engineering experience, ideally in fullstack or backend environments
  • Strong understanding of modern LLMs and frameworks (OpenAI, Claude, LangChain, LlamaIndex, etc.)
  • Experience working with vector databases (Pinecone, Weaviate, Qdrant, or similar)
  • Familiarity with prompt engineering and retrieval-augmented generation (RAG) pipelines
  • Comfortable working in Python and/or TypeScript (additional experience with Node, FastAPI, Flask, etc. is a plus)
  • Experience building APIs or services that power product features (e.g., REST, GraphQL)
  • Experience shipping LLM-powered features into production
  • Familiarity with data labeling, synthetic data generation, or AI evaluation frameworks
  • Experience with vector store security, access controls, and multitenancy
  • Exposure to DevOps, observability, or CI/CD best practices

What else you need to know:

We know a diverse and inclusive team makes our workplace better. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description and qualifications we encourage you to apply anyway. You may be just the right candidate for this or other roles.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, and a variety of other perks. As a remote company we’ll help ensure you have the tools needed to work from wherever you are. Our best estimate of the compensation range for this opportunity is $140,000 - $160,000 annually depending on the experience you bring. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.

Visiting Media is an Equal Opportunity Employer. Employment decisions are made without regard to age, race, color, national origin, ancestry, citizenship, religion, creed, disability, veteran status, sex, sexual orientation, gender identity or expression, genetic information, or any other characteristic protected by federal, state, or local law.

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