Agentic AI Engineer
Exiger
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow
Graph Machine Learning Engineer
Exiger
full-time
Posted on:
Location Type: Hybrid
Location: Jersey City • New Jersey, Virginia • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Design and implement graph-based machine learning models to map and analyse complex supply chain networks
- Develop and fine-tune Large Language Models (LLMs) for extracting and synthesizing supply chain-related data from diverse text sources
- Build and optimize Graph RAG models
- Create predictive models to identify risk factors and forecast disruptions within supply chains
- Collaborate with cross-functional teams including data engineers, product managers, and domain experts
- Contribute to the development of Agentic AI systems for dynamic and autonomous supply chain analysis and decision-making
- Provide technical leadership in AI and Data Science, and engage with the company’s R&D culture
- Contribute to potential publications and/or IP patents
Requirements
- Strong and proven programming skills (Python preferred, but other languages may also be considered)
- Proven experience with graph theory and graph ML algorithms (e.g., GNNs, GraphRAG, link prediction)
- Hands-on expertise with LLMs (and transformers-based models) and transfer learning, model fine-tuning, and prompt engineering
- Strong background in building and deploying predictive ML models in production environments
- (Bonus) PhD-level (or post-graduate research) experience in Computer Science, Machine Learning, Data Science, or a related quantitative field
- (Bonus) Relevant publications in top venues in the field
- (Bonus) Familiarity with agent-based systems and multi-agent AI frameworks (e.g. LangGraph, CrewAI)
Benefits
- Discretionary Time Off for all employees, with no maximum limits on time off
- Industry leading health, vision, and dental benefits
- Competitive compensation package
- 16 weeks of fully paid parental leave
- Flexible, hybrid approach to working from home and in the office where applicable
- Focus on wellness and employee health through stipends and dedicated wellness programming
- Purposeful career development programs with reimbursement provided for educational certifications
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythongraph theorygraph ML algorithmsGNNsGraphRAGlink predictionLLMstransformersmodel fine-tuningpredictive ML models
Soft skills
technical leadershipcollaborationcommunication
Certifications
PhD in Computer SciencePhD in Machine LearningPhD in Data Science