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Software Engineering Internship - AI/Agentic Systems

Axiomatic_ai

Software Engineering Internship – AI/Agentic Systems

Boston, US / Castelldefels (Barcelona), Spain

Position Overview

We are looking for an AI/Agentic Systems Intern to support the development of intelligent workflows and evaluation infrastructure for Lemma, our scientific and engineering co-explorer.

In this role, you will work on agent tool integrations, workflow orchestration, and benchmarking systems that help us build more reliable and capable AI agents.

This internship is ideal for a candidate who wants hands-on experience at the intersection of LLM applications, evaluation systems, and product-oriented AI engineering. You will contribute directly to our goals around AI tooling adoption and Lemma integrations, while working closely with researchers and engineers on real-world systems.

Your Mission
  • Work on agent tool integrations and workflow orchestration for Lemma
  • Help build benchmarking, testing, and evaluation infrastructure for AI agents
  • Support experiments around tool use, agent performance, and workflow reliability
  • Contribute to engineering foundations that make agentic systems more robust, measurable, and deployable
  • Collaborate with researchers and engineers to translate early ideas into usable internal capabilities
Key Requirements
  • Currently pursuing a Master's degree preferred in Artificial Intelligence, Machine Learning, NLP, Computer Science, or a related field
  • Strong proficiency in Python
  • Familiarity with LLMs and tool-use patterns
  • Strong analytical and problem-solving skills
  • Strong communication and collaboration skills
  • Ability to work independently while contributing effectively in a team environment
  • Comfort working in a dynamic, fast-paced setting

Work model & location expectations

Work model: On-site. Candidates are expected to be based at our Barcelona, Boston or Toronto office.

Work authorization: Candidates must have (or be able to obtain) work authorization in one of our office locations.

Relocation support: Axiomatic will support relocation by covering temporary housing and travel to/from the office location during the transition period.

Hiring manager & interview process

The interview process consists of four stages:

  • Culture interview
  • Technical + Hiring Manager interview (1 hour)
  • Team interview
  • Offer stage

Internship details

You will work directly with and be mentored by a global team of multidisciplinary experts pushing the boundaries of AI-assisted physics formalization.

Type: Paid internship

Duration: 3–6 months (typically starting between June and September, depending on candidate availability)

Future opportunities: Successful interns may be considered for full-time roles following the internship.

Why Join Us?

At Axiomatic AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30×30 mission.

This is your opportunity to contribute to the development of new AI methodologies that improve scientific modeling, reasoning, and design. You will work on research questions with both theoretical depth and practical relevance, while collaborating with a global team of engineers, scientists, and AI specialists.

We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, uncertainty-aware modeling, and scientific computation. If you're excited by technically demanding research and want to help shape the future of AI for engineering and hardware, we want to hear from you.

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn't perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.

Vacancy posted 2 days ago
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