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Internship Chatbot Development Jobs in Boston, MA

Internship Chatbot Development information

See Boston, MA salary details

$9

$18

$26

How much do internship chatbot development jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship chatbot development in Boston, MA is $18.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is an Internship in Chatbot Development?

An Internship in Chatbot Development is a temporary, practical work experience where students or recent graduates learn how to design, build, and maintain chatbots—computer programs that simulate conversation with users. Interns typically work with programming languages like Python or JavaScript and use frameworks such as Dialogflow or Microsoft Bot Framework. The role involves tasks like coding, testing, debugging, and improving chatbot interactions. This internship helps participants gain hands-on experience in artificial intelligence (AI), natural language processing (NLP), and software development. It's a valuable stepping stone for careers in AI, software engineering, or conversational UX design.

What are typical responsibilities for an intern in chatbot development, and how do they contribute to larger project goals?

Interns in chatbot development are often tasked with designing conversational flows, testing chatbot interactions, and assisting with code implementation using platforms like Dialogflow or Microsoft Bot Framework. They may also analyze user feedback and help improve the chatbot's responses. These tasks directly support the team's ability to deliver a more effective, user-friendly product while giving interns hands-on experience with real-world development cycles and collaborative, agile workflows.

What is the difference between Internship Chatbot Development vs Chatbot Developer?

AspectInternship Chatbot DevelopmentChatbot Developer
Required CredentialsEnrolled in or recent graduate of relevant field (e.g., Computer Science)Bachelor's or higher in Computer Science or related field
Work EnvironmentInternship programs, entry-level projects, team collaborationFull-time or freelance roles, professional projects
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, customer service companies, AI firms
Search & Comparison IntentLearning, entry-level opportunities, career explorationProfessional development, advanced skills, career growth

Internship Chatbot Development roles are designed for students or recent graduates gaining initial experience in chatbot creation, often involving supervised projects. Chatbot Developers are experienced professionals responsible for designing, coding, and maintaining chatbot systems in a professional setting. The internship provides foundational skills, while the developer role requires advanced expertise and independent work.

What are the key skills and qualifications needed to thrive as an Internship Chatbot Developer, and why are they important?

To thrive as an Internship Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and relevant coursework in computer science or related fields. Familiarity with chatbot development platforms (like Dialogflow, Microsoft Bot Framework, or Rasa) as well as version control systems like Git is often expected. Strong problem-solving abilities, effective communication, and a willingness to learn help interns contribute to team projects and adapt to evolving technologies. These skills ensure that interns can effectively build, test, and improve chatbot solutions while collaborating in a dynamic tech environment.
Junior AI/ML Engineer (Remote)

Junior AI/ML Engineer (Remote)

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 25 days ago


Job description

Location: Remote (EST preferred)
Type: Paid Internship or Contract (Full-time)
Start Date: Immediate

Role Overview

We are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot and data intelligence system. This role will focus on building interactive AI agents that connect to enterprise databases, generate insights, and support decision-making.

The position includes hands-on work in both LLM-based chatbot/agent development and machine learning, including building prediction models and integrating them into production workflows. This is a client-facing technical role requiring strong coding ability, analytical thinking, and the ability to work in a fast-paced environment.


Key Responsibilities
  • Develop and deploy AI chatbot/agent solutions for enterprise use cases
  • Integrate LLM-based agents with structured and unstructured enterprise data
  • Connect chat interfaces to SQL/enterprise databases and internal APIs
  • Build and integrate machine learning models (prediction, classification, clustering, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Integrate ML outputs into chatbot or workflow interfaces
  • Support data pipeline development and automation
  • Collaborate with internal team and occasionally clients to understand requirements
  • Document model logic, workflows, and implementation details

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
  • Strong Python programming skills
  • Hands-on experience with machine learning (regression, classification, clustering, or similar)
  • Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
  • Experience working with databases (SQL, PostgreSQL, or similar)
  • Familiarity with LLM APIs (OpenAI, Claude, or open-source models)
  • Experience building APIs or backend services (FastAPI, Flask, or similar)
  • Strong analytical and problem-solving skills
  • Ability to work independently and communicate clearly

Preferred Qualifications
  • Graduate degree or currently pursuing MS in AI, Data Science, or related field
  • Experience with agent frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, etc.)
  • Experience deploying or integrating ML models into applications
  • Knowledge of vector databases or embeddings
  • Familiarity with AWS, GCP, or Azure
  • Prior internship or project experience building AI/ML applications

How to Apply

Please submit the following to danz@focuskpi.com:

  1. Resume
  2. GitHub or portfolio that includes at least one agentic or AI chatbot project
  3. A short written explanation (3–6 paragraphs) of one project, including:
    • What problem the agent/chatbot solves
    • Architecture and tools used (LLM, framework, database, etc.)
    • Your specific contribution
    • Challenges encountered and how you solved them

Candidates without project examples or explanation will not be considered.

Immediate start preferred.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010