# AI Engineer Intern - EQT Digital - London at EQT Group

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> Responsibilities: - Work with EQT Digital and stakeholders t

- **Company:** EQT Group (https://jobs.trythestack.co/companies/eqt-group)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 0–2 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, LLM APIs, Prompt Engineering, Google BigQuery, Google Cloud Platform, Data Modeling, Document Parsing, Data Pipelines, Machine Learning, Cloud Databases, Terraform, Airtable, Dust, Technical Documentation, Communication
- **Posted by employer:** 2026-07-09
- **Added to The Stack:** 2026-07-10
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4923865101 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-engineer-intern-eqt-digital-london-eqt-group

## About the role

Responsibilities:
- Work with EQT Digital and stakeholders to identify the highest-value data assets and information to extract from unstructured sources.
- Design and implement document parsing pipelines (text, slides, email/messaging) to produce structured intelligence using LLMs and prompt engineering.
- Build evaluation and monitoring pipelines to measure extraction correctness, coverage and quality over time.
- Define and implement a BigQuery data model and stabilise pipeline production concerns (error handling, logging, alerting, quality checks) on GCP.
- Specify consumption interfaces for downstream users and document architecture, data models and operational behaviours for handover.

Requirements:
- Master’s-level training (or in progress) in CS, Data Science, ML or related field with practical AI engineering experience.
- Strong Python skills and hands-on experience with LLM APIs, prompt engineering and document parsing techniques.
- Familiarity with GCP (BigQuery), cloud deployment and data pipeline best practices.
- Knowledge of evaluation metrics, data modelling, and basic infra-as-code or deployment tooling.
- Good communication skills, product-oriented thinking and ability to prioritise ambiguous tasks.

## Responsibilities

The intern will design and implement data pipelines to extract structured intelligence from unstructured sources into Google BigQuery. They will also develop evaluation pipelines to monitor data correctness and define consumption interfaces for the extracted data.

## Requirements

Candidates should be Master's students in Computer Science, Data Science, or a related field with practical AI engineering experience. Proficiency in Python, LLM APIs, and prompt engineering is required, along with the ability to design data models.

## FAQ

- **Is this AI Engineer Intern - EQT Digital - London role still open?** It was posted on 2026-07-09. Listings more than 30 days old may no longer be active, so check EQT Group's site before applying.
- **Does EQT Group offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EQT Group's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, LLM APIs, Prompt Engineering, Google BigQuery, Google Cloud Platform, Data Modeling, Document Parsing, Data Pipelines, Machine Learning, Cloud Databases, Terraform, Airtable, Dust, Technical Documentation, Communication.

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