AI Engineer at QuantCo

Europe

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

BSc, MSc or PhD in Computer Science, Engineering, Physics, or a related technical or STEM field from a leading university
Experience working with relevant models and/or architectures within the following fields: Computer Vision, Natural Language Processing, or Graph Neural Networks
Experience writing production-ready code
Experience programming in Python
Familiarity with the frontier labs APIs (Gemini, OpenAI, Anthropic), and their advanced features like structured outputs and tool calling
Understanding of LLM inference considerations e.g. input vs. output tokens, prompt caching
Strong computer science fundamentals in areas such as data structures, cloud infrastructure, distributed systems, machine learning, and high-performance computing
Experience and willingness to work through the challenges associated with large, unstructured, real-world data sets
Ability to develop custom tooling for efficient experimentation and evaluation of LLM applications / agentic workflows

Responsibilities

Design, test, and deploy AI systems that are embedded at scale
Leverage cutting-edge models to build robust, production-ready AI applications
Lead the design of data and inference pipelines
Orchestrate the integration of LLM-based components such as retrieval-augmented generation (RAG)
Balance engineering constraints with business priorities
Own all stages of product iteration and development, from system design to deployment
Build solutions that seamlessly integrate into enterprise settings, designed to change the way clients work with AI
Work with data scientists to solve complex problems in inference optimization, scalable systems design, and human-computer interaction
Collaborate directly with clients to discover, rapidly iterate on and deploy AI solutions (in forward-deployed roles)
Abstract successful solutions into scalable assets (in centralized roles)

Skills

Key technologies and capabilities for this role

Deep LearningComputer VisionNatural Language ProcessingGraph Neural NetworksRAGLLMInference OptimizationScalable SystemsProduction CodeMachine Learning

Questions & Answers

Common questions about this position

What education is required for the AI Engineer role?

A BSc, MSc, or PhD in Computer Science, Engineering, Physics, or a related technical or STEM field from a leading university is required.

What technical skills and experience are needed for this position?

Required skills include experience with Computer Vision, Natural Language Processing, or Graph Neural Networks; production-ready Python code; familiarity with frontier lab APIs like Gemini, OpenAI, and Anthropic; understanding of LLM inference; strong CS fundamentals; and ability to handle large unstructured datasets.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at QuantCo?

You will be part of a smart, motivated, and driven team that revels in challenging problems, values customers and users, delivers impactful products, respects each other, and appreciates individual contributions.

QuantCo

Data analytics for business decision-making

About QuantCo

QuantCo specializes in transforming data into actionable business decisions. The company offers specialized products such as algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. These products help businesses optimize operations, set optimal prices, manage insurance claims efficiently, and predict future trends accurately. QuantCo differentiates itself from competitors by combining advanced data expertise with practical business knowledge, thanks to a diverse team of over 100 experts in economics, data science, software engineering, and machine learning. The goal of QuantCo is to create significant economic impacts for its clients, which include large organizations in financial services, retail, industrial, and healthcare sectors, by providing tailored solutions that enhance decision-making and drive revenue.

Berlin, GermanyHeadquarters

2017Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, AI & Machine Learning, Financial ServicesIndustries

51-200Employees