Junior AI/ML Engineer (Remote)

FocusKPI Inc. • Boston, MA

1d • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern