AI Engineer developing and leading Databricks AI initiatives for Deutsche Börse Group. Collaborating with data engineers and business stakeholders in a hybrid work environment.
Responsibilities
Lead the technical development of current and future AI products on Databricks.
Enhance, promote and maintain AI/ML Framework for Databricks.
Explore and define baselines for new Databricks AI features, understand how they work, their governance, and cost implications.
Coordinate work across data engineers and data scientists using Agile practices.
Collaborate with business stakeholders to translate requirements into scalable AI solutions.
Document technical processes and decisions clearly and concisely.
Evangelize and demo AI applications to internal and external stakeholders.
Requirements
At least 2 years of experience with AI framework / products / applications
Strong Python skills and experience working with the LLM API.
Hands-on experience with MLFlow and familiarity with Genie AI/BI.
Exposure to Microsoft Azure AI and/or Google Cloud AI services and/or Databricks.
Solid grasp of HTTP semantics and RESTful API design.
Passion for GenAI and emerging agentic frameworks.
Working knowledge of GitHub Actions, Azure Kubernetes and Docker is a plus.
Bonus points for experience with LangChain, LangGraph, Pytest, Ruff, or Celery.
Excellent communication skills and fluency in English.
Benefits
Hybrid Work and Flexible working hours
Work from abroad - 12 days of remote work from EU countries per year
Group Share Plan - discount on company shares
Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
Health & Wellbeing - fully covered Multisport card, life & accident insurance, sick days and 100% salary contribution during sick leave (up to 56 days)
25 vacation days
Mobility - fully covered public transport in Prague & free parking
Flexible Benefit Account (Pluxee) - 1200 per month
AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
Lead AI Engineer designing and building multi - agent capabilities for enterprise applications at AI.IMPACT in Hamburg, Germany. Requires deep generative AI expertise and strong software engineering foundations.
Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions.
Build AI - driven services utilizing LLMs and modern web applications for the educational sector. Collaborate cross - functionally while maintaining clean engineering practices in a growing startup setting.
AI Developer managing the entire lifecycle of AI applications in Berlin. Responsibilities include development, deployment, and monitoring of AI solutions using modern technologies.
AI Engineer designing and deploying intelligent systems that transform global payment services at Sokin. Collaborating with teams on automation across the software development lifecycle in the fintech domain.
AI Developer at GenAIz specializing in machine learning models for the Life Sciences industry. Responsible for software development, model implementation, and collaboration with cross - functional teams.
AI Engineer integrating AI techniques into robotics at Robotec.ai. Involves collaboration across various teams and development of AI - driven features.
AI Engineer designing and developing tools using AI technologies for efficiency at Tailor Platform. Focusing on large - scale language models to enhance engineering productivity and support productivity tools.
Associate AI Engineer developing and deploying AI solutions to optimize global operations for Manulife. Collaborating with cross - functional teams to enhance operational efficiency.