AI Engineer - Databricks (gn)

BLACKBULL INTERNATIONAL GmbH; Frankfurt; Vor Ort; EUR 85.000 - 110.000; Vollzeit

Zusammenfassung

BLACKBULL INTERNATIONAL GmbH in Frankfurt is seeking an AI Engineer - Databricks to design and deliver enterprise GenAI and ML solutions that support asset management processes.

The role is hands-on, spanning prototyping to production deployment, and involves collaboration with senior engineers and partners to translate business needs into secure, scalable AI solutions across the stack.

Qualifikationen

• Academic background or equivalent in Computer Science, Data Science, Engineering or related discipline.
• 2–5 years in software engineering or full-stack development, with 1–2 years in ML/GenAI in agile teams.
• Strong Python and ML/GenAI frameworks knowledge; experience with LLMs, RAG, embeddings and prompting.
• Experience with React, TypeScript and Node.js across front-end and back-end.
• Hands-on with vector databases and cloud-native practices (Docker, Kubernetes, Azure) and relational databases.
• Knowledge of DevOps and agile toolchains; ability to design automated unit/integration tests.
• Effective communicator bridging business requirements and technical implementation.

Aufgaben

• Design, develop and deliver GenAI and ML apps, including data pipelines and evaluation for LLM/RAG systems.
• Implement AI components with focus on reusability and scalability.
• Architect and deliver robust integration layers with enterprise platforms and workflows.
• Support prototype validation and transition to production environments.
• Collaborate with senior engineers to shape designs and develop AI agents.
• Drive documentation, testing and knowledge sharing to maintain delivery standards.

Kenntnisse

Python

GenAI

ML frameworks

LLMs

RAG

Embedding techniques

Prompt engineering

React

TypeScript

Node.js

Vector databases

Docker

Kubernetes

Azure

DevOps

Agile testing

Communication

Ausbildung

Computer Science

Data Science

Engineering

Tools

React

TypeScript

Node.js

Docker

Kubernetes

Azure

Vector databases

Jobbeschreibung

For our client, a globally active asset management firm headquartered in Frankfurt, we are currently looking for an AI Engineer - Databricks (gn) to strengthen the team.

Purpose of job

The role encompasses the design and delivery of enterprise-scale Generative AI (GenAI) and Machine Learning (ML) solutions that support operational processes within the Asset Management business. The position is hands-on and development-focused, spanning from initial prototyping through to scalable production deployment, embedded within an experienced team of senior engineers and solution architects. The position also collaborates closely with Operations teams, subject matter experts and technology partners in order to translate business requirements into secure and scalable AI solutions.

Tasks

• Design, develop and deliver full-stack GenAI and ML applications, including data pipelines, embedding and retrieval workflows, and evaluation frameworks for LLM and RAG-based systems.
• Implement AI components in accordance with defined architectural standards, with a strong focus on reusability and scalability.
• Architect and deliver robust integration layers connecting AI components with enterprise platforms and operational workflows.
• Support prototype validation and the transition of proven AI solutions into stable production environments.
• Collaborate closely with senior engineers, architects and subject matter experts to shape solution designs and actively contribute to the development of AI agents.
• Drive documentation, testing and knowledge sharing to maintain high delivery standards across the team.

Requirements

• Academic background or equivalent qualification in Computer Science, Data Science, Engineering or a related discipline.
• Between 2 and 5 years of experience in software engineering or full-stack application development, including at least 1-2 years of practical exposure to ML or GenAI solutions, gained within agile team environments.
• Solid command of Python and associated ML and GenAI frameworks, alongside demonstrable experience with large language models, RAG-based architectures, embedding techniques and prompt engineering.
• Proven expertise in contemporary web technologies - React, TypeScript and Node.js - with the ability to independently deliver across both front-end and back-end layers.
• Hands-on exposure to vector databases, cloud-native engineering practices (including Docker, Kubernetes and Azure) as well as relational database systems.
• Working knowledge of DevOps and agile toolchains, complemented by the ability to design and implement automated testing across unit and integration levels.
• Effective communicator with a strong capacity to bridge business requirements and technical implementation, making complex concepts accessible to non-technical audiences.