Senior AI Engineer (LLMs & Knowledge Graphs)

About This Role

Overview

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).

Role & Responsibilities

As a Senior AI Engineer , you will:

• 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.

Required Skills & Experience

• 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.
• US Time Zone Overlap: Required (2 PM - 6 PM CET)
• Rate: 300-340 EUR/MD

If you are passionate about  AI, Graph-centric AI ,  Python , and building next-generation  agentic workflows , this role with our client offers an exciting opportunity to work on cutting-edge R&D projects!