Junior AI/ML Engineer (Remote)

FocusKPI, Inc.
Boston, United States of America
5 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Boston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cluster Analysis
Databases
Python
PostgreSQL
Machine Learning
NumPy
Open Source Technology
SQL Databases
Systems Integration
Flask
Large Language Models
Multi-Agent Systems
Backend
FastAPI
Pandas
Scikit Learn
Information Technology
Api Design

Job description

  • Develop and deploy AI chatbot/agent solutions for enterprise use cases

Requirements

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., + 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

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