Join our engineering team building applied AI and agentic systems for private equity and professional services clients, with hands‑on model integration, agentic workflows and data engineering from day one. We're looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results.
Attercop is a knowledge engineering and agentic AI company built specifically for private equity and professional services. We turn fragmented, hard to use information into structured intelligence and deploy autonomous AI agents that make decisions, not just recommendations. Our systems deliver faster insights, operational efficiency gains, and real value creation across the PE lifecycle, from diligence and data organisation to portfolio wide transformation.
Role Overview
You'll join our engineering team as a Graduate AI Engineer, working with experienced engineers and data scientists on applied AI projects. Expect hands‑on model integration, agentic workflow development, data engineering fundamentals, and early exposure to deployment and DevOps. This role offers structured progression, mentorship, and real responsibility from day one.
Core Responsibilities
- Support senior engineers in building production AI services
- Write clean Python for data processing, inference, and APIs
- Contribute to testing, validation, and performance optimisation
Agentic Workflows
- Learn frameworks like LangChain, LangGraph, and Microsoft Agent Framework
- Build components for multi‑agent systems
- Apply prompt engineering and RAG techniques
- Contribute to internal research and documentation
- Assist with ETL pipelines and dataset preparation
- Work with PostgreSQL and gain exposure to NoSQL/vector databases
- Support data quality and governance practices
- Learn Docker and containerisation
- Gain hands‑on experience with Azure
- Contribute to CI/CD pipelines and basic monitoring
What We're Looking For
Education
- Degree in Computer Science, AI, Software Engineering, Data Science, or similar
- Strong academic performance
- Solid Python (NumPy, Pandas, core data structures)
- Understanding of software engineering fundamentals (Git, testing)
- Basic ML knowledge (supervised learning, neural networks, NLP)
- Strong analytical problem‑solving
- Exposure to FastAPI/Flask/Django
- Cloud familiarity (Azure/AWS/GCP)
- Interest in LLMs, prompt engineering, or GenAI
- Personal projects, hackathons, open‑source contributions
- Experience with async Python or type hinting
All roles require excellent English. We work entirely in English for meetings, client calls, and business communications. This is non‑negotiable.
No Recruitment Agencies
We do not work with recruitment agencies. Please do not contact us if you're representing candidates. We hire directly.
