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Engineering Intern - Software AI

Job in Marlborough, Middlesex County, Massachusetts, 01752, USA
Listing for: Festo
Apprenticeship/Internship position
Listed on 2026-04-20
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Engineering Intern – Software AI

Location:

Marlborough

Primary Responsibilities
  • Conduct applied research on LLM‑based agents for engineering and lab automation, including planning, tool use, workflow orchestration, memory handling, and evaluation.
  • Engineer requirements for setting up prototypes.
  • Conceptualize and prototype agentic AI solutions (Python preferred) that interface with Festo engineering interfaces, tool chains, and data sources.
  • Explore cutting‑edge methods for improving the visibility, quality, and reliability of technical information within AI‑generated outputs; derive general recommendations and design supporting experiments.
  • Document findings, benchmarks, architecture concepts, and prototypes; communicate results to stakeholders in the company.
  • Support positive team interactions and contribute to milestone and schedule commitments within an agile framework.
Required Qualifications
  • Enrolled in a master’s degree in Computer Engineering, Software Engineering, Computer Science, AI/ML, or related field.
  • Strong experience with Python and modern AI/ML tooling (e.g., prompting, MCP development, RAG, LLM APIs, PEFT fine‑tuning).
  • Strong analytical and problem‑solving skills; structured and outcome‑oriented mindset.
  • Curiosity for automation and creating functional prototypes from research concepts.
  • Excellent communication skills and ability to work in a collaborative team environment.
Preferred Qualifications
  • Experience with collaborative version control tools, such as Git Hub/Git Lab, CI/CD workflows, MLOps, and modern software development processes and tools.
  • Familiarity with ML frameworks (e.g., Num Py, Pandas, PyTorch, Tensor Flow, scikit‑learn).
  • Understanding of machine‑learning concepts such as transformers, embeddings, supervised learning, and evaluation metrics.
  • Experience with interfacing systems, APIs, or automation equipment is a plus.
  • Self‑motivated and proactive working style.
Benefits
  • Diverse opportunities for your development
  • A strong team by your side
  • Freedom to drive your ideas forward
  • Develop innovative solutions with real impact
  • Be part of a global network – in a family‑owned company

Nearest Major Market:
Boston

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