AI Engineer

About

Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real‑world problems.

With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.

Acuity became an independent business in 2019 following its acquisition from Moody’s Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.

Responsibilities

• Design and implementation of AI solutions — from proof of concept to production deployment in the cloud or on‑premises
• Building and maintaining robust data preprocessing pipelines, model serving infrastructure, and AI‑powered applications in Python
• Development of LLM‑based solutions including RAG architectures, AI agents, and multi‑modal applications using frameworks such as LangChain, LlamaIndex, or Microsoft Agent Framework
• Integration of Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure AI Foundry) into scalable cloud‑native architectures
• Close collaboration with your team in the conception and architecture of end‑to‑end AI systems for our clients
• Supporting and facilitating technical workshops with client teams
• Working across different industries on diverse AI engineering use‑cases

Skills and Experience

• Educational background in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
• Strong Python skills and experience building production‑grade AI/ML systems, including familiarity with libraries such as scikit‑learn, pandas, numpy, PyTorch, or Hugging Face Transformers
• Hands‑on experience with Azure cloud services, particularly Azure OpenAI Service, Azure Machine Learning, Azure Functions, and Azure DevOps
• Solid understanding of LLM application development — including prompt engineering, fine‑tuning, RAG pipelines, vector databases and evaluation frameworks
• Experience with MLOps practices: CI/CD for ML, model versioning (e.g. MLflow) and containerization (Docker, Kubernetes)
• Nice‑to‑have: Experience with cloud deployments and infrastructure‑as‑code (e.g. Terraform or Bicep)
• Motivation and passion for staying on the cutting edge of AI and continuously honing your skills

Compensation

• Minimum monthly gross salary: € 3.800 (14 times per year, based on 38.5 h/week, no all‑in contract). We always ensure a competitive salary adjusted to your qualifications and experience.
• Comfortable speaking in both German and English

Recognitions

Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high‑performance workplace for our people. Learn more here.