This role involves designing and building a production-grade agentic workflow platform at the intersection of LLM systems engineering and distributed platforms
Job Summary
This role involves designing and building a production-grade agentic workflow platform at the intersection of LLM systems engineering and distributed platforms.
The successful candidate will architect multi-agent workflows integrating large language models, retrieval systems, and external APIs for robustness and real-world business use.
Vitol offers an environment where individuals can reach their full potential unhindered by hierarchy within a diverse team of over 65 nationalities.
Matching Summary
This role involves designing and building a production-grade agentic workflow platform at the intersection of LLM systems engineering and distributed platforms.
Skills & Requirements
Must-have
Senior Machine Learning Engineer role
Production-grade Python development
LLM-based systems and LangChain
RAG architectures and vector search
AWS cloud engineering and deployment
Multi-agent workflow orchestration
CI/CD pipeline implementation
Nice-to-have
Experience with Claude Code or Cursor
Knowledge graph-backed reasoning
Model distillation and quantization
Small language models expertise
Fine-tuning frontier models
Dynamic tiger team collaboration
Interest in energy commodities space
Key Requirements
Bachelor's or master's degree in CS or Engineering
6+ years experience in software or ML engineering
Strong proficiency in production-grade Python
Hands-on experience with AWS AgentCore or comparable frameworks
Solid understanding of RAG architectures and embeddings