AI & ML Engineer Intern (Boston, MA)

Location: Boston, MA, with travel to NYC

Type: Internship → Full-time

Duration: 3–6 months

Start: Immediate / ASAP

Eligibility: U.S. Citizen only

We are hiring an AI & ML Engineer Intern / Field AI Engineer to improve client-facing AI and data workflows.

This role is ideal for final-year Master’s students or recent graduates who build from first principles and think AI-native. A strong fit is someone who can combine AI engineering, strong SQL, data science fundamentals, and client-facing communication.

You will work closely with client teams to understand business needs, configure AI workflows, analyze data, improve outputs, and help clients use AI systems effectively.

• Work directly with client teams to understand business needs, data workflows, and implementation requirements
• Build, configure, and improve AI-driven workflows using LLMs, RAG, vector databases, and agent frameworks
• Write and optimize SQL queries across enterprise datasets
• Translate client requirements into clear technical workflows and implementation steps
• Analyze AI outputs, identify gaps, and improve workflow accuracy
• Support testing, feedback collection, and iteration during client engagements
• Communicate technical concepts clearly to client and internal teams
  

• Strong Python programming
• Strong SQL experience, including joins, aggregations, CTEs, query debugging, and database fundamentals
• Solid AI/ML and data science fundamentals
• Experience with LLM APIs, prompt engineering, vector databases, RAG, or AI agents
• Hands-on experience with LangGraph and familiarity with LangChain or similar agent frameworks
• Experience working with Pandas, NumPy, Scikit-learn, or similar data science tooling
• Ability to analyze model outputs and improve accuracy through testing and iteration
• Strong communication skills for client-facing technical work
  

• Final-year Master’s student or recent graduate in Computer Science, AI, ML or Data Science only
• Experience with NL-to-SQL and working with PostgreSQL, MongoDB, or other data platforms
• Familiarity with embeddings, vector databases, semantic search, ontologies, or knowledge graphs
• Experience with FastAPI, REST APIs, Git, Docker, AWS, or GCP
• Healthcare, regulated data, or enterprise software experience
• GitHub, research, or project work showing real AI/ML capability
  

Python, SQL, LangGraph, LangChain, LLM APIs, RAG, AI Agents, Prompt Engineering, Pandas, NumPy, Scikit-learn, PostgreSQL, MongoDB, Vector Databases, Embeddings, Semantic Search, FastAPI, REST APIs, Git, Docker, AWS, GCP

Send to kronosx@agentmail.to

Include:

• Resume
• GitHub
• LinkedIn
• Brief note on your strongest AI/ML or data project

Subject: [Your Name] - #USAIMLFDE