AI Engineer / ML Engineer

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

Job Title: AI Engineer

Role Overview

Develop an end-to-end pipeline that converts technical diagrams into executable code using computer vision, knowledge graphs, and agentic AI systems. The role is focused on rapid prototyping and building scalable multi-agent workflows.

Key Responsibilities

• Build computer vision models for diagram detection (shapes, lines, symbols)
• Design and manage knowledge graphs from structured data
• Develop multi-agent systems for code generation and validation
• Implement agentic RAG pipelines and LLM-based workflows
• Create APIs, tools, and backend services (Python, FastAPI, Docker)
• Enable self-healing pipelines (error handling, retries, feedback loops)

Must-Have Requirements

• Computer Vision: YOLO/Detectron2/DETR, dataset annotation, full ML pipelines
• Knowledge Graphs: NetworkX, Neo4j, RDF or similar
• Agentic Frameworks: LangChain, LangGraph, multi-agent design
• Generative AI: LLMs, RAG, embeddings, vector DBs
• Backend: Python, APIs, async processing, Pydantic, Docker
• Strong ownership, problem-solving, and R&D mindset

Nice-to-Have

• GCP (or AWS/Azure with adaptability)
• Multimodal AI (vision + text)
• Simulation domain experience
• Code execution and validation in agent loops

Preselection Criteria

• Experience with end-to-end AI/ML systems
• Hands-on work with LLMs or agentic workflows
• Strong Python and system design skills
• Proven projects in CV, knowledge graphs, or RAG systems

Success Metrics

• Working diagram-to-code pipeline
• Scalable and reliable agentic workflows
• Fast iteration from prototype to production-ready solution