Senior AI Engineer
Summary
A senior/principal AI engineer at Avenga's Banja Luka office acts as the top technical authority for an AI-native enterprise work platform (knowledge graph + multi-agent workforce), defining engineering strategy, architecture standards and AI governance while guiding teams in AI-driven delivery. Core tech: LLM orchestration, RAG, CI/CD, DevSecOps, microservices, Kubernetes and Azure/AWS/GCP.
Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.
At the core of the role
We are looking for a Principal Engineer to be the foremost technical authority for AI-driven software delivery on an ambitious enterprise platform. The product is an AI-native work operating system. It replaces traditional ticket- and document-centric tools with an enterprise registry, a connected knowledge graph and a multi-agent workforce. Human users and AI agents work side by side on a shared source of truth. The platform starts by integrating with Jira and Confluence as data sources, and over time it aims to replace them as the primary systems of work and knowledge.
You will define the engineering strategy, architecture standards and AI governance for the platform. You will also lead the move to AI-native engineering, inspired by emerging AI-DLC (AI-Driven Development Lifecycle) practices, and guide teams in using AI across requirements, design, development, testing, deployment and operations. Throughout, you will make sure that security, quality, traceability and compliance hold up.
Core skills you’ll bring
AI engineering platforms
LLM orchestration
RAG and knowledge systems
CI/CD and DevSecOps
AI governance frameworks
Microservices and event-driven architectures
Kubernetes and cloud platforms (Azure/AWS/GCP)
Nice-to-have
Familiarity with AI-DLC or similar AI-native delivery frameworks
Experience with LLM evaluation and observability
Background in enterprise SaaS or work management and collaboration platforms
The impact you'll create
The role defines engineering strategy, architecture standards, AI governance implementation, and enterprise-scale adoption of AI throughout the software development lifecycle.
You will drive transformation towards AI-native engineering practices while ensuring security, quality, traceability, and compliance.
Inspired by emerging AI-DLC practices, you will guide teams in leveraging AI across requirements, design, development, testing, deployment, and operations
People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.