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 with a Founding Engineer mindset to join an innovative project focused on transforming complex geological and engineering data into intelligent, structured, and interactive systems. You will build end-to-end solutions - from scraping and ingesting large-scale geological datasets to orchestrating AI agents, developing AI/ML pipelines, and rendering complex insights through interactive 3D interfaces.

You will work at the intersection of AI, Knowledge Graphs, Computer Vision, large-scale data processing, and 3D visualization, helping automate the understanding of engineering documentation and transform unstructured information into simulation-ready models and actionable insights.

In this role, you will have significant ownership across the technical stack, from data ingestion and AI workflows to backend services and user-facing applications. You will collaborate closely with engineers and domain experts to turn complex requirements into scalable, production-ready solutions.

You will become a key member of a multidisciplinary team working on intelligent engineering systems, contributing to both the technical direction of the product and its evolution from early-stage concepts into working solutions.

Core skills you’ll bring

• Strong hands-on experience with Python and backend development

• Practical experience with LLMs, VLMs, and AI frameworks such as LangChain, HuggingFace, or similar

• Experience building and orchestrating AI agents and agentic workflows

• Hands-on experience with Knowledge Graphs and graph databases, particularly Neo4j

• Experience with vector databases such as Qdrant, Pinecone, or Vertex AI

• Solid understanding of Machine Learning / Deep Learning, including document understanding

• Practical experience with Computer Vision and object detection pipelines

• Experience building production-grade APIs with FastAPI

• Experience with Docker, GitHub, CI/CD, and modern software engineering practices

• Experience with GCP, particularly Cloud Run

• Knowledge of PostgreSQL and Redis

Nice-to-have

• Experience working with large-scale geological, engineering, scientific, or geospatial datasets

• Experience with 3D visualization, 3D data, or interactive graphical interfaces

• Experience with Streamlit, React, or similar technologies for building data/AI interfaces

• Familiarity with workflow orchestration tools such as Temporal or Celery

• Experience with engineering documentation such as P&IDs, technical specifications, or simulation models

• Experience with 1D simulation models or tools such as Amesim

• Experience working in an early-stage or Founding Engineer-type environment, taking ownership across multiple technical areas

The impact you'll create

• Build end-to-end data pipelines, from scraping and ingesting large-scale geological and engineering datasets to processing and structuring data for AI applications

• Convert system descriptions, P&IDs, manufacturer specifications, and other unstructured sources into structured Knowledge Graphs

• Enhance Knowledge Graph generation by integrating real-time system data and additional data sources

• Design and orchestrate AI agents and agentic workflows to automate complex engineering and data-processing tasks

• Develop LLM/VLM and ML/DL pipelines for document understanding, information extraction, and system interpretation

• Build KG-to-Model mapping logic to automatically generate initial 1D simulation models, such as Amesim models

• Develop scalable backend services and APIs using Python and FastAPI

• Build interactive 3D visualizations and interfaces that transform complex geological and engineering data into actionable insights

• Create demo and admin interfaces using Streamlit or React

• Ensure the scalability, observability, reliability, and performance of AI and data-processing workflows

• Collaborate with engineers and domain experts to translate complex real-world problems into practical AI-powered solutions

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.