Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Essen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI agents and data products on a modern lakehouse platform, implement data pipelines, and monitor their quality throughout the full development lifecycle.
Job Technologies
Your role in the team
- As a hands-on AI & Data Engineer, you transform architectural concepts into productive solutions. You develop data products, AI agents, pipelines, and integrations that enable the successful use of AI within the company.
- Development and operation of data pipelines, data products, and integrations on a modern Lakehouse platform.
- Development of AI agents and multi-agent workflows with Microsoft Copilot Studio, Databricks, as well as open-source frameworks such as LangChain, LangGraph, and LlamaIndex; responsible for implementing tool integrations, memory concepts, retrieval-augmented generation (RAG), and MCP integrations from the prototyping phase to production.
- Implementation of evaluation, monitoring, and quality assurance mechanisms for AI agents, including agent assessments, guardrails, tracing, and CI/CD processes.
- Optimization of performance and efficiency through model routing, caching strategies, and the selection of appropriate model sizes; furthermore, you create transparency regarding usage and costs and provide relevant information to the platform and infrastructure teams.
- Development of reusable components, agent templates, and reference implementations that can be directly used by other teams.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Technical Informatics, Information Technology, or a comparable course of study, or an equivalent qualification.
Qualifications
- Good knowledge in the areas of MCP, tool integration, agent and memory design, as well as prompt engineering.
- In-depth knowledge of modern cloud platforms (Azure and/or AWS), Infrastructure as Code, as well as monitoring and observability solutions.
Experience
- Solid knowledge in Data Engineering with Python, SQL, and Apache Spark, as well as experience with DataOps practices and platforms such as Databricks and Microsoft Fabric.
- Practical experience in developing AI agents with Microsoft Copilot Studio, Databricks, and open-source frameworks such as LangChain, LangGraph, or LlamaIndex.
- Experience with LLMOps and AgentOps, particularly in the areas of model and agent evaluation, guardrails, tracing, as well as CI/CD automation.
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What we offer
- Independent assumption of exciting and responsible tasks.
- Close collaboration with a motivated team that fosters your personal and professional development through an open feedback culture.
- Insights into a globally operating energy company.
- Free use of the Health Center, modern open workspaces, free parking, e-charging stations, and much more.
- Structured and digitized pre- and onboarding process using the web-based app RWE+You.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
- 🍼Day Care for Kids
More net
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
RWE AG
RWE AG is an essential part of the European energy system, ensuring security of supply for Europe. With its three operating segments - lignite & nuclear power, European electricity generation from gas, coal, hydropower and biomass, and energy trading - it is one of the leading European energy companies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
AI & Data Engineer
- Location
- Essen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
