AI & ML Engineer Intern (Boston, MA)

AI & ML Engineer InternField AI EngineerLocation: Boston, MA, with travel to NYC Type: Internship → Full-time Duration: 3–6 months Start: Immediate / ASAP Eligibility: U.S. Citizen onlyAbout the RoleWe 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.What You’ll Work OnWork directly with client teams to understand business needs, data workflows, and implementation requirementsBuild, configure, and improve AI-driven workflows using LLMs, RAG, vector databases, and agent frameworksWrite and optimize SQL queries across enterprise datasetsTranslate client requirements into clear technical workflows and implementation stepsAnalyze AI outputs, identify gaps, and improve workflow accuracySupport testing, feedback collection, and iteration during client engagementsCommunicate technical concepts clearly to client and internal teamsRequired SkillsStrong Python programmingStrong SQL experience, including joins, aggregations, CTEs, query debugging, and database fundamentalsSolid AI/ML and data science fundamentalsExperience with LLM APIs, prompt engineering, vector databases, RAG, or AI agentsHands-on experience with LangGraph and familiarity with LangChain or similar agent frameworksExperience working with Pandas, NumPy, Scikit-learn, or similar data science toolingAbility to analyze model outputs and improve accuracy through testing and iterationStrong communication skills for client-facing technical workPreferredFinal-year Master’s student or recent graduate in Computer Science, AI, ML or Data Science onlyExperience with NL-to-SQL and working with PostgreSQL, MongoDB, or other data platformsFamiliarity with embeddings, vector databases, semantic search, ontologies, or knowledge graphsExperience with FastAPI, REST APIs, Git, Docker, AWS, or GCPHealthcare, regulated data, or enterprise software experienceGitHub, research, or project work showing real AI/ML capabilityTech Stack / KeywordsPython, 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, GCPHow to ApplySend to kronosx@agentmail.toInclude:ResumeGitHubLinkedInBrief note on your strongest AI/ML or data projectSubject: [Your Name] - #USAIMLFDE