Senior AI Engineer (LLMs & Knowledge Graphs)
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Key skills for this role
About the 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.
Key Skills for This Role
Full Job Posting
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:**
• Rate: 300-340 EUR And 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!
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