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Senior AI Engineer
What the posting is about
Define engineering strategy and AI governance for an AI-native work operating system. Lead the transition to AI-native engineering practices. Ensure security, quality, traceability, and compliance.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationBanja Luka, South-Eastern Europe, Beograd, RS, Bitola, MK, Chișinău, MD, Kragujevac, Niš, Novi Sad, Ohrid, Skopje
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-06
Found viateamtailor, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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.
Copied from Avenga’s own board, not rewritten. Original ↗
Also open at Avenga
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