Senior AI Engineer

Avenga is an international engineering firm helping businesses operate with AI at the core. 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.

• Design and implement AI-powered capabilities, develop agentic workflows, work with LLMs and knowledge systems, and turn complex enterprise processes into intelligent, automated experiences.
• 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.

• 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
• 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