Senior AI Engineer

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 Senior AI Engineer to help build an AI-native enterprise work operating system that changes how organizations manage execution, knowledge, and decision-making. The platform is designed to move beyond traditional ticket- and document-centric tools by combining an enterprise registry, connected knowledge graph, and multi-agent workforce. Initially integrating with tools such as Jira and Confluence, the long-term vision is to create a new system of work where AI agents and human teams collaborate around a shared source of truth. In this role, you will design and implement AI-powered capabilities, develop agentic workflows, work with LLMs and knowledge systems, and turn complex enterprise processes into intelligent, automated experiences. You will have significant ownership over technical decisions and the opportunity to shape the foundations of a new AI-native product. Core skills you’ll bring Strong commercial experience with Python and backend development Hands-on experience building LLM-powered applications and AI agents Strong understanding of agentic AI, multi-agent systems, and agent orchestration Experience with LLM APIs, prompt engineering, context management, tool/function calling, and RAG Experience working with knowledge graphs, vector databases, or other knowledge representation approaches Strong understanding of APIs, integrations, data processing, and distributed systems Experience with cloud platforms and modern software engineering practices Ability to work independently, make architectural decisions, and take ownership of solutions Nice-to-have Experience with MCP (Model Context Protocol) and AI agent tooling Experience integrating enterprise platforms such as Jira, Confluence, Microsoft Teams, or SharePoint Experience with LangGraph, LangChain, Semantic Kernel, or similar agent frameworks Experience with graph databases such as Neo4j Experience with LLM evaluation, observability, and AI reliability Experience building enterprise SaaS or workflow automation platforms The impact you'll create Define and evolve the enterprise strategy for AI-native software engineering and AI-driven delivery practices. Establish architecture standards, engineering principles, and governance frameworks for responsible AI adoption across the SDLC. Drive the adoption of AI across requirements, design, development, testing, deployment, and operations. Define and champion AI-DLC practices, turning emerging approaches into scalable engineering standards and repeatable processes. Partner with engineering, architecture, security, product, and leadership teams to embed AI into everyday software delivery. 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.