Senior AI Engineer

🕒 April 24

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Avenga

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🤝 B2B

🏢 Enterprise

💰 Private equity on 2017-02

B2B • Enterprise

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Design and develop agentic AI systems and orchestration workflows • Build and optimize RAG pipelines and LLM-based solutions • Convert system descriptions (e.g., P&IDs, technical documentation) into structured Knowledge Graphs • Enhance Knowledge Graphs by integrating real-time and external data sources • Develop KG-to-model mapping logic to generate simulation-ready models • Design and implement pipelines using LLMs, VLMs, and ML/DL models for document understanding • Build and maintain backend services and APIs using Python (FastAPI) • Implement data processing workflows and AI pipelines • Ensure scalability, performance, and observability of systems • Collaborate with cross-functional teams including engineers and domain experts

🎯 Requirements

• Strong experience with Python (modern versions) • Proven hands-on experience with LLMs (e.g., Gemini, OpenAI, Anthropic or similar) • Strong experience with AI frameworks such as LangChain, LangGraph, or similar • Solid understanding of RAG architectures, embeddings, semantic search, and retrieval optimization • Experience designing agentic / multi-agent systems (orchestration flows, supervisor/worker patterns, state management) • Experience with vector databases (e.g., Pinecone, FAISS, Vertex AI RAG Engine, or similar) • Strong experience building APIs with FastAPI (or similar frameworks) • Good understanding of async programming and handling long-running processes • Experience with data modeling and validation frameworks (e.g., Pydantic or similar) • Experience with Docker and modern development workflows • Experience with Knowledge Graphs and Graph Databases (e.g., Neo4j) • Understanding of Machine Learning / Deep Learning, including document understanding • Experience with Computer Vision / object detection pipelines is a plus.

🏖️ Benefits

• Equal opportunities in recruitment • Equal career development • Equal leadership opportunities • Work environment fostering diversity