united consult
crm solutions
big data
software development
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cybersecurity
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agile

Medior SAP AI Engineer - 5336

In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You will design and implement AI solutions, set up and develop big data pipelines, and ensure high standards of scalability, observability and compliance. You will thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions.

Hybrid
English
Hungary
years of experience

What is it like to work in UC colors?

One thing’s certain all 350+ of our colleagues would say the same: it’s a truly unique and unrepeatable experience. At UC, professional growth and personal development go hand in hand. From tailored professional trainings to team-building events, we make sure work is both inspiring and fun.

You can enjoy the vibe at IT Fest, enjoy the scenic Balaton Circle on two wheels or on foot, unwind in our cozy kUCkó, unleash your creativity during themed craft afternoons, or make a difference through our charity events.

About the client/project

We're looking for a dynamic professional to join our partner's team, which is leading the charge to make this a truly data-driven company, who can design, build and bring to production enterprise-grade AI solutions across processes and operations.

You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems.

Tasks

  • Design, develop and deploy AI and (Gen)AI services and solutions from proof of concept to full enterprise production
  • Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems
  • Implement CI/CD and MLOps practices to automate model training, testing and deployment
  • Collaborate with Product Owners and data scientists to translate requirements into technical specifications
  • Develop and integrate multi-agent AI and LLM-based products and solutions
  • Ensure reliability, observability and compliance of deployed AI solutions
  • Guide and mentor junior colleagues to foster AI engineering excellence across teams

Necessary knowledge/technologies used

  • Degree in computer science or a similar field
  • Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles
  • Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)
  • Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
  • Hands-on experience with data ETL, APIs and model deployment workflows
  • Knowledge of distributed systems and data platforms for big data
  • Understanding of Agile, SAFe methodologies and collaborative engineering practices
  • Fluent English and a proactive, problem-solving mindset

It gives you an advantage

  • Experience with multi-agent or generative AI frameworks (e.g. LangChain, CrewAI)
  • Familiarity with SAP AI Core, SAP BTP
  • Experience with agile frameworks (e.g. Scrum, SAFe) and project management tools (e.g. Jira)

Why you should join us

  • Because we can count on each other, we form a professional and human community.
  • Opportunity to participate in professional trainings, conferences.
  • With your success and professional knowledge, you can build your career continuously.
  • Stable company, market leading customers.
  • You can participate in exciting team builders and events.
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