ANNA Money is hiring an AI Engineer to build the future of customer operations. You will develop AI agents that work alongside human support specialists to resolve tasks faster and lighten the team's load. Your initial focus will be automating complex workflows like dispute resolution at our fast-growing fintech.
What You'll Do
- Develop and track key operational efficiency metrics, identify improvement opportunities, and implement a roadmap.
- Lead the technical design, development, and monitoring of AI features.
- Build AI-driven orchestration for back-office operations.
- Automate routine tasks and decision-making.
- Enhance workflow management.
- Support human decision-making with AI.
- Build quality assurance and monitoring systems for back-office operations.
- Establish processes for knowledge and workflow curation.
What We're Looking For
- Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g. Scikit-learn, NumPy, Keras/TensorFlow/PyTorch), and visualisation libraries (e.g. Matplotlib, Plotly, Seaborn).
- Fluency in SQL and familiarity with data visualisation tools (e.g. DataStudio, Tableau).
- Proactive, self-motivated, and continuously staying up to date with the latest advancements in AI (especially LLMs, agentic architectures).
- Strong track record of implementing and optimising production machine learning systems within a commercial or startup environment.
- Knowledge of Agentic frameworks (e.g. Google ADK, CrewAI, AutoGen).
Nice to Have
- Good knowledge of DevOps in a Data Science context (MLOps, LLMOps) would be a benefit.
Technical Stack
- Python3, Numpy, Scipy, Xgboost, Catboost, PyTorch, Optuna
- Github-actions, Jenkins, Docker, Kubernetes, DVC, ML-flow, Terraform, Airflow, Dataform
- BigQuery, Looker Studio
- GPT, Claude, Gemini, Langsmith, Langchain, N8N
Team & Environment
This role is part of the Workstation product team, which owns the internal platform used by support specialists.
Benefits & Compensation
- Competitive salary
- Hybrid working with a central London office
- Private Healthcare Plan
- Pension Plans
- Employee Assistance Programme (Counselling)
- Work From Home flexibility
- Training & Development Budget of £1,000 per annum
- Take a Break Budget (Holiday Money) of £1,000 per annum
- Childcare Voucher Scheme
Work Mode
This is a hybrid role based in London.
