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Generative AI Developer

Remote / Online - Candidates ideally in
Pennsylvania, USA
Listing for: Selfless
Remote/Work from Home position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

is a leading provider of K-12 Business Intelligence, revolutionizing how education vendors—from Fortune 500 companies to innovative startups—connect their solutions with school districts nationwide.

We are seeking an enthusiastic and motivated
Generative AI Developer
to join our innovative product team. In this high-impact role, you will be a core contributor, rapidly prototyping and deploying AI-driven applications that enhance K-12 data intelligence, ultimately impacting millions of students and educators. You will gain hands-on experience developing features using
Python, LLMs, Vector Databases, and RAG architectures
in a fast‑paced, weekly deployment cycle.

The position is 100% remote and requires residency in one of the states where Burbio is registered for business, including Pennsylvania, Indiana, Kentucky, Florida, New Jersey and New York. This is an
excellent, high‑growth opportunity
for a recent graduate or an aspiring AI professional eager to build and deploy production‑ready Generative AI solutions within a collaborative startup environment.

Key Responsibilities

As a key contributor to our product team, you will:

  • Drive the end‑to‑end development
    of new features, from concept and architecture to weekly deployment, focusing on Generative AI and LLM integration.
  • Implement robust data ingestion pipelines
    using AI and NLP to gather complex K-12 data from various online sources.
  • Engineer custom parsing solutions
    leveraging cutting‑edge NLP techniques to transform unstructured documents (e.g., PDFs, HTML) into structured, queryable data.
  • Collaborate closely with the product team to integrate new AI solutions into Burbio’s platforms.
  • Measure and optimize the performance (e.g., latency, cost, and accuracy)of deployed AI models and Retrieval‑Augmented Generation (RAG) pipelines.
  • Conduct research on emerging Generative AI trends and tools to suggest and build innovative applications for our product suite.
  • Participate actively in code reviews, team meetings, and contribute to collaborative problem‑solving.
  • Assist in testing, debugging, and refining AI features to ensure reliability and scalability.
Qualifications

Required:

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.
  • Expertise in Python
    (This is your primary development language).
  • Proven theoretical and/or project‑based experience with Generative AI concepts, including:
    • Large Language Models (LLMs).
    • Retrieval‑Augmented Generation (RAG) architectures
      .
    • Vector embeddings/databases
      .
  • Strong problem‑solving skills and the ability to rapidly learn and apply new technologies.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team‑oriented environment.

Preferred:

  • Direct experience deploying applications on a major cloud platform (e.g.,
    AWS, GCP, or Azure
    ) and integrating third‑party APIs.
  • Practical experience with
    advanced Prompt Engineering
  • Familiarity with version control tools (e.g., Git) and Agile development methodologies.
  • Familiarity with the US K‑12 public school system
Why Join
  • High‑Growth Technology:Work at the forefront of Generative AI applications, rapidly deploying solutions using the latest tools and architectures in a production environment.
  • Direct Impact & Mentorship:Work directly with the product and leadership team; your contributions will be immediately visible to customers.
  • Collaborative & Innovative Culture:Thrive in a supportive, fast‑paced startup environment.
  • Flexible Working Environment:We offer a fully remote work structure.
How to Apply

Please send your application materials to.

Your application should include:

  • Your resume.
  • A brief cover letter detailing your passion for Generative AI and this specific role.
  • Links to any relevant projects (e.g.,
    Git Hub repository, portfolio, or project documentation
    ).

We look forward to seeing how you can help  build the next generation of AI‑driven applications!

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