Senior AI Engineer (LLMs & Knowledge Graphs)

Our client, a Fortune 50 leader in enterprise solutions and innovations, is seeking a Senior AI Engineer with Knowledge Graphs and LLMs skills to join their AI incubator to scout, incubate, and validate internal ideas. This role is part of a high-impact strategy leveraging Graph Neural Networks (GNNs) and Generative AI to redefine workflows, semantic search, and intelligence for enterprise solutions in Finance, Operations, Supply Chain, Engineering, or Investments.

This is a remote-first position with a required overlap of US working hours (2-6 PM CET).

Responsibilities

• Build Agentic Workflows: Implement orchestration, retrieval pipelines, and validator agents using graph-aware tools.

• Optimize Retrieval: Build hybrid search pipelines (lexical + vector) and integrate vector databases like FAISS, Milvus, or Pinecone.

• Model Integration: Integrate LLMs (Azure OpenAI, Anthropic) and support domain-specific fine-tuning or adapter models.

• Scalable Engineering: Develop robust API endpoints and ETL pipelines to support model and agent runtimes.

• Experiment & Evaluate: Create evaluation suites for reliability, drift detection, and performance optimization.

Requirements

• Python Expertise: 3-6+ years of strong Python engineering experience.

• Core ML & Experimental Design: Strong grounding in machine learning and deep learning fundamentals with the ability to design experiments, evaluate model robustness, and mitigate bias.

• Graph Intelligence: Depth in Graph Theory, Knowledge Graph modeling, and GNNs.

• Modern AI Patterns: Hands-on experience with RAG, Agentic frameworks, and Prompt Engineering.

• Data Engineering: Proficiency in building data pipelines, chunking strategies, and handling large datasets.

• Cloud & Deployment: Experience with AWS/Azure/GCP and CI/CD workflows.

• Engineering Discipline: Strong Git discipline, unit testing, and agile pod experience.

• Excellent problem-solving skills and keen attention to detail.

• Ability to participate in the discussions and lead the technical discussions

• Have a consultancy mindset → always try to find a solution for the client

• Make decisions about the solution and design

Work Conditions

• Start Date: ASAP

• Location: Remote (99%); must be able to travel freely within Europe for workshops.

• Onsite Requirements: Mandatory planning sessions/workshops (1x per year).

• US Time Zone Overlap: Required (2 AM - 6 PM CET)