Company Description
MPGQS is a renowned consultancy providing contract administration, quantity surveying, engineering, and dispute resolution services to the property and construction sectors. Specializing in engineering and building services, MPGQS is known for life cycle and sustainability analysis, cost planning, value engineering, and dilapidation surveys. With a wide range of services, MPGQS operates in Europe, the UK, the UAE, Qatar, and Saudi Arabia. MPGQS treats every project with dedication, regardless of its size.
Role Description
This is a full-time, on-site role for an Artificial Intelligence Intern located remotely and/or in Watford Hertfordshire, United Kingdom.
We are looking for an AI Engineer Intern to join our team and work on building agentic AI systems for real-world applications. You will design and implement multi-agent workflows, integrate LLMs with external tools and APIs, and develop backend services that power intelligent, autonomous decision-making systems.
The Intern will be responsible for supporting projects with tasks such as programming, data analysis, and machine learning model development. Daily duties include collecting and processing data, applying machine learning algorithms, performing analysis, and assisting with research and development.
What you will do during your internship:
* Develop agentic AI solutions using frameworks like LangGraph, CrewAI, AutoGen, or similar.
* Implement LLM-powered agents for reasoning, planning, and tool orchestration.
* Build RAG pipelines (Retrieval-Augmented Generation) for knowledge-grounded responses.
* Design and expose REST APIs for agentic workflows using FastAPI or similar frameworks.
* Integrate agents with databases, file systems, and external APIs.
* Containerize applications using Docker for deployment and reproducibility.
* Collaborate on scenario simulations, HITL (Human-in-the-Loop) workflows, and observability (logging, metrics).
What you will bring:
* Programming: Strong in Python (async, OOP, data handling).
* Backend Development: Experience with FastAPI, REST API design, and JSON schemas.
* Agentic AI: Familiarity with multi-agent systems, LLM orchestration, and tool-use patterns.
* LLMs & RAG: Understanding of prompt engineering, vector databases (Chroma, pgvector), and embedding models.
* Containerization: Hands-on with Docker and docker-compose.
* Data Handling: Proficient in pandas, SQL, and working with structured/unstructured data.
* Version Control: Git/GitHub workflows.
Nice-to-Have:
* Knowledge of LangChain, AutoGen etc.
* Experience with cloud platforms (Azure, AWS, GCP).
* Basic understanding of financial or asset management use cases.
* Familiarity with news APIs, sentiment analysis, or NLP pipelines.
What You'll Learn:
* Building production-grade agentic AI systems.
* Designing multi-agent orchestration for real-world workflows.
* Implementing HITL and governance in AI pipelines.
* Deploying AI services in containerized environments.
Schedule
* Internship program: 8 weeks, full-time or part-time, in-person in Watford office (hybrid schedule: 4 days from the office, 1 days WFH)
Interview Process
* Fill out the application form
* If selected, People Ops and technical interviews will be involved.
* Offer. We're impressed We'd love to welcome you to our Internship program
* Start. We have a desk waiting for you in our Watford office
FAQ
Do you sponsor visas? Can I apply if I need a visa to work in the UK?
→ Unfortunately we are unable to sponsor visas
What if I'm on a student visa?
→ You need to seek approval from your University (to determine if you are eligible to work full time or part time only)
How many internship spots are there?
* We have spots for 2-3 interns in our 2025 class.
Is housing provided?
* Unfortunately we cannot provide housing.
Is health insurance provided?
* Unfortunately we cannot provide health insurance for interns.
How many full time offers are available at the end of the residency?
* There is no limit. All outstanding performers will be given a full time offer
At MPG we've experienced tremendous growth and to support our rapid expansion, we are looking to build our staff base.
Final offer amounts are determined by multiple factors, including experience and expertise.
Qualifications
* Strong foundations in Computer Science and Programming
* Proficient in Data Science and Machine Learning techniques
* Excellent Analytical Skills
* Strong written and verbal communication skills
* Ability to work independently and as part of a team
* Bachelor's or Master's degree in a related field is preferred