Additionalinformation

Additional Information

What we offer

• Flexible working conditions with remote work possibility (in-person presence is required from time to time)
• Opportunity to develop your knowledge and skills through stimulating work, including development and implementation of new processes and tools
• Central office location in a modern business building
• Benefits package including private health insurance, sport cards, flexible monthly budgets, bonuses for special occasions, performance bonus and other

Companydescription

Company Description

KOSTAL Group is a globally active, independent, family-owned company headquartered in Germany. Founded in 1912, it has grown into a worldwide organization with around 20,000 employees across 47 locations in 22 countries.

Renowned for delivering innovative, market-leading solutions in the automotive and solar industries, KOSTAL specializes in the development and production of technologically advanced electronic and mechatronic systems for a wide range of applications.

With a strong focus on quality, flexibility, and customer-centricity, the company combines decades of expertise with forward-thinking innovation to meet the evolving needs of its global partners.

The Shared Services Center in Sofia plays a key role in this global network, delivering reliable internal IT and a wide range of essential services to support KOSTAL’s subsidiaries worldwide.

Jobdescription

Job Description

As part of a global AI initiative, we are building a dedicated enterprise AI team and platform to enable AI-powered solutions across KOSTAL.

Our AI platform provides a secure and governed environment for AI services and applications, combining cloud technologies, AI orchestration tools, and enterprise integrations.

In this hands-on engineering role, you will help build and evolve our AI platform, develop new capabilities, and ensure that AI services run reliably in production.

You will work closely with IT Architects, Solution Engineers, and other technical teams, with opportunities to explore and apply emerging AI technologies in real business environments.

Responsibilities

• Build and enhance enterprise AI platforms, including the configuration and integration of AI orchestration components.
• Develop new platform features and reusable capabilities that enable AI use cases across the organization.
• Design and implement APIs, backend services, and integrations connecting AI capabilities with enterprise systems.
• Keep AI services running reliably in production by monitoring performance, troubleshooting issues, and improving stability.
• Investigate production incidents, identify root causes, and implement technical fixes to prevent recurring issues.
• Work hands-on with CI/CD pipelines, Infrastructure as Code, and containerized components to support reliable deployments.
• Collaborate with technical teams and provide guidance to advanced business users working with the AI platform.

Qualifications

Requirements

• 2+ years of professional experience in backend development, cloud engineering, DevOps, or platform engineering.
• Hands-on programming experience in Python.
• Experience developing APIs, backend services, or system integrations.
• Experience integrating AI/LLM APIs or working with AI-powered applications.
• Practical knowledge of cloud environments, preferably Microsoft Azure.
• Familiarity with containerized environments, Git, and CI/CD practices.
• Experience operating, troubleshooting, and improving production-grade systems.
• Experience working in enterprise IT environments.
• Strong ownership mindset, structured working style, and pragmatic problem-solving approach.
• Ability to combine software development and operations while collaborating with international teams.

Nice to Have

• Experience with additional programming languages such as JavaScript, TypeScript, Java, or Go.
• Experience with Kubernetes, AKS, Terraform, Helm, or ArgoCD.
• Familiarity with AI orchestration platforms such as Dify, LangGraph, or similar tools.
• Experience with RAG, AI agents, vector databases, or MCP.
• Knowledge of LiteLLM, OpenWebUI, or other enterprise AI platforms.
• Experience with monitoring and observability tools.
• Understanding of AI security, governance, and cost optimization.