AI Engineer
At a glance
Mid-level AI Engineering role at KBC GROEP. Varna.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine AI agents with LLMs, agentic AI and RAG to help credit teams handle daily work
- Learn retail and business credit processes, then turn operational problems into useful AI support
- Connect agents to big data pipelines, real-time data and AWS Bedrock or other LLM platforms
- Use Terraform and AWS services to maintain infrastructure, then prepare deployments for KBC’s Execution Garden
- Monitor and improve production agents while addressing scale, security, privacy and AI governance
What you bring
- You have hands-on experience with AWS cloud services such as Lambda, S3 or Bedrock
- You can build infrastructure with Terraform and develop software in Python
- You have worked on AI, machine learning or generative AI solutions
- You can connect APIs and data across systems, and communicate effectively in English
Who this fits
This role suits a mid-level engineer who can connect AI implementation with credit operations and collaborate across business and technical teams. The work is based in Varna, Bulgaria.
From the employer
KBC Global Services is the engine behind KBC Group – a leading bank-insurance group with over 41,000 talented employees serving more than 12 million clients across Europe.
Since 2021, we have been supporting the digital transformation of KBC Group providing software development, QA, AI and other IT solutions working on a wide range of projects combining classical IT with digital banking.
Within the domain of Credits, we explore and implement AI Agents that support employees in handling dossiers, analyzing complex files, and executing operational processes. These AI Agents combine information from multiple sources, including modern applications, documentation, and our mainframe environment, to provide contextual support throughout employees' daily activities. This for both Retail – and Business Credits departments.
We work according to the principles of the Scaled Agile Framework (SAFe) ️, where business value is at the center of everything we do, and multidisciplinary teams collaborate to deliver innovative solutions for our customers and employees.
To further strengthen this ambition, we are looking for an AI Agent Engineer who can bridge the gap between business, AI technology, and our existing application landscape.
What does this role involve?
As an AI Engineer, you will be responsible for implementation, delivery, monitoring and optimization of AI Agents that support employees within Credits in their daily activities. You understand both the technical capabilities of AI and the business processes within credits management, and you know how to connect these worlds effectively.
You will work closely with Data scientists (designers and creators of the AI agents), business experts, architects, developers, and operational teams to create AI solutions that deliver tangible value to our employees.
You will work on cutting-edge AI initiatives, including the development of AI agents, integration with our mainframe and deployment of scalable data-driven solutions. This role is ideal for someone who thrives in a collaborative environment and is passionate about AI innovation.
As our AI Engineer, you would have the following responsibilities:
- AI Agent Development: Implement and optimize AI Agents using modern AI technologies such as Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG), MCP operational knowledge;
- Business & Credits Understanding: Develop a solid understanding of Retail and Business Credits processes and translate operational challenges into practical AI solutions that support employees;
- System Integration: Work with large-scale big data pipelines and real-time data processing. Integrate with AWS Bedrock and other LLM-based platforms to build intelligent agents;
- Develop and maintain infrastructure using Terraform and AWS services;
- Deployment & Operations: Build solutions that can be deployed through KBC’s Execution Garden platform, taking into account scalability, monitoring, security, and maintainability;
- Responsible AI: Contribute to security, compliance, privacy, and the proper application of AI governance within KBC;
- Collaboration: Work closely with business stakeholders, architects, platform teams, and fellow engineers to successfully bring innovative AI solutions into production.
Key competences that will help you succeed:
- Proven experience with AWS cloud services (e.g., Lambda, S3, Bedrock);
- Strong knowledge of Terraform and infrastructure-as-code practices;
- Experience with AI solutions, Machine Learning, or Generative AI;
- Knowledge of AI Agent frameworks is a plus;
- Experience developing software solutions in Python;
- Experience integrating APIs and connecting data across various systems;
- Knowledge of mainframe environments (COBOL, DB2, CICS, MQ, etc.) is a strong asset;
- An interest in or experience with claims management and insurance processes;
- Strong analytical skills and the ability to translate complex business challenges into practical AI-driven solutions;
- Excellent communication skills in English;
- A collaborative mindset and enthusiasm for working in multidisciplinary agile teams;
If you find this job opportunity interesting and you recognize yourself in the above, apply via the button with your CV in English.
Join. Create. Innovate with us!
Recruiter Name
Kristina Stoyanova Lapova