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.

This is the job

We are looking for a Senior AI Engineer to join an innovative project focused on building intelligent systems that transform complex engineering documentation into structured knowledge and simulation-ready models.

The role involves working with LLMs, Knowledge Graphs, and Computer Vision, combining unstructured data (e.g., P&IDs, technical specifications) with real-time inputs to automate model generation and system understanding.

This is you

• 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

This is your role

• 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

What awaits you at Avenga?

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.