Building automations and using AI to enhance operational efficiency at Aurixus GmbH. Engaging in hands - on projects to connect tools and streamline processes for better productivity.
About the role
- Gen AI Lead Engineer designing, building, and deploying AI solutions using technologies like LangChain and LangGraph. Spearheading innovations for the FBS Marketplace platform.
Responsibilities
- Serve as the technical lead for the FBS Marketplace platform, designing and implementing a scalable architecture for modular, reusable AI components and services.
- Design and build advanced, multi-agent systems using frameworks like LangChain and LangGraph to automate complex business workflows and reasoning tasks.
- Lead the entire lifecycle of AI projects, from translating high-level business needs into well-defined technical problems to deploying and maintaining enterprise-grade agentic solutions in our cloud environment.
- Partner with IT, PRE, and business teams to ensure the seamless deployment, integration, and operational success of AI/ML solutions within the broader software architecture.
- Apply advanced analytical solutions (including machine learning and statistical models), and conduct analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.
- Work with high-volume, high-dimensional
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics or Engineering degree or a related field of study
- 5+ years of professional experience in software engineering, machine learning, or a data-focused role.
- 3+ years of hands-on experience developing and deploying machine learning solutions using languages like Python, PySpark, or Scala.
- 1+ years of direct, hands-on experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or related Generative AI technologies.
- Proficiency with SQL and experience engineering data from diverse, high-volume sources.
- Even better, you may have...
- MS or PhD in a related field
- Demonstrated success applying ML and AI to solve real-world industrial problems with large-scale data.
- Proficiency with version control (Git) and CI/CD practices within an agile development environment.
- Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets.
- Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner.
- A self-starter mentality, with the ability to navigate ambiguity and drive projects forward with minimal direction in a fast-paced environment.
- Ability to work in an environment where problems are not always well-defined.
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