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Careers at Resupply
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AI Engineer

4 Mar 2025
Boston, MA, USA
Verified by Turrior

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

80 / 100

Offer value

This position holds medium value based on the company's mission and the potential for innovative AI applications.

  • Chance to develop impactful AI solutions in charitable sectors.
  • Focus on collaborative yet meaningful work environments.
  • Opportunity to work closely with a supportive team.
Pros
  • Opportunity to influence charitable innovation in supply chains.
  • Focus on meaningful AI projects that provide significant social impact.
  • Supportive and collaborative team environment.
Cons
  • Limited information on salary range and benefits.
  • Potentially demanding workload considering mission-driven nature.
  • Smaller company size might affect stability compared to larger firms.

Who it's for

Mid-Level • On-site (Boston)

Good fit
  • AI professionals looking to leverage technology for social good.
  • Individuals enthusiastic about humanitarian projects.
  • Engineers skilled in NLP seeking enriching projects.
Not recommended for
  • Candidates seeking only high salaries and benefits.
  • Individuals not comfortable in collaborative environments.
  • Those preferring traditional corporate structures.

Motivation fit

Desire to work on AI solutions with a positive social impact.Interest in collaborative innovation environments.Commitment to continuous learning in AI sectors.

Key skills

Experience in NLP and AI applicationsFamiliarity with TensorFlow or equivalent toolsAbility to collaborate effectively in teamsUnderstanding of customer-oriented AI solutions
Score: 80/100 AI verified analysis

About the job

Position & Company Overview

Resupply is looking for an innovative and driven AI Engineer to join us on our journey to reinvent and forever change the supply-chain of charitable contributions within the U.S. We are seeking someone who will be passionate about our mission and partnerships as we turn household goods into emergency relief for those in need. If you're motivated by a desire to make a positive impact, then we want to talk to you!

We are seeking an AI Engineer who is passionate about machine learning (ML), natural language processing (NLP), and conversational AI. You will be responsible for developing and fine-tuning cutting-edge AI-powered solutions, including a Conversational AI Assistant, pricing models, and reviews clustering model. You’ll work closely with product management, data science, and the engineering team to develop AI-driven solutions that enhance business processes, improve customer experiences, and provide valuable insights.

Our culture is built on the foundation of thinking disruptively, obsessing over adding value, and reaching out to support one another as we strive to Make Giving Simple and have fun doing it! Our small, tight-knit team is seeking a candidate who will work closely with us at our Downtown Boston headquarters. We work best when we can all innovate together in an open, collaborative environment.

Click to learn how Resupply is forever changing charitable giving: ReSupply Explainer Video

Responsibilities:

  • Design, develop, and deploy a Conversational AI Assistant for inbound sales and customer support use cases
  • Implement Natural Language Processing (NLP) and Machine Learning (ML) techniques to enhance the AI Assistant’s performance and understanding
  • Collaborate with cross-functional teams (Product, Data Science, Engineering, Customer Success) to gather requirements and define the AI Assistant’s capabilities
  • Continuously improve the AI Assistant’s understanding, accuracy, and user interaction based on feedback and data analysis
  • Refine a vector database and its interface storing insightful data on charitable contributions collected through our system
  • Use sentiment analysis to analyze customer reviews and give data-driven suggestions to improve our user experience
  • Integrate the AI Assistant with backend systems, databases, and APIs to ensure seamless customer interactions
  • Stay up-to-date with the latest advancements in AI and NLP technologies
  • Develop and optimize AI-driven pricing algorithms, leveraging ML techniques to support dynamic and competitive pricing models
  • Create and fine-tune review clustering models to provide insights into customer sentiment and improve customer support operations
  • Monitor the performance of all AI-driven solutions, identify areas for optimization, and apply techniques for improving efficiency and user satisfaction

    Qualifications:

    • Bachelor’s degree in Computer Science, Engineering, or a related field
    • Hands-on experience in AI, machine learning, and NLP development
    • Proficiency in Python, with experience in TensorFlow, PyTorch, or Hugging Face Transformers
    • Experience with a variety of tree-based models such as XGBoost and Random Forests
    • Familiarity with LLM fine-tuning and prompt engineering
    • Experience using AI/ML APIs (OpenAI, Anthropic, Google Bard, Whisper, etc.)
    • Experience with Conversational AI development platforms (e.g., Rasa, Dialogflow, Botpress, etc.)
    • Experience with vector database architecture and libraries (FAISS, Pinecone, Sentence Transformer)
    • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying AI models
    • Experience developing and deploying pricing algorithms using AI/ML techniques.
    • Familiarity with SQL databases and querying languages, such as PostgreSQL and Amazon Redshift
    • Experience with clustering models, sentiment analysis, and data-driven decision-making.
    • Excellent problem-solving skills and attention to detail
    • Ability to work in an agile environment with cross-functional teams
    • Strong communication skills and the ability to explain technical concepts to non-technical stakeholders
    • Understanding of data privacy regulations and best practices for secure AI systems

    ReSupply is an equal opportunity employer. As such, it is our policy to fill positions with qualified candidates regardless of the candidate's race, color, sex, age, religion, ancestry, national origin, citizenship status, marital status, sexual orientation, gender identity, genetic information, disability, pregnancy, military status, veteran status or any other protected group status.

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