FULL-TIME Role || Principal AI Engineer

Qualifications (Required)

• 10+ years of experience in Software Engineering, Data Engineering, or Machine Learning Engineering with a strong background as a Senior Individual Contributor or Technical Leader.
• Hands-on experience designing, building, and deploying production AI/ML systems at scale.
• Advanced experience with Large Language Models (LLMs) including:
  • Self-hosting open-weight models
  • Fine-tuning
  • Quantization
  • Inference optimization & model serving
• Strong experience architecting Agentic AI systems and orchestration patterns.
• Expert-level Python with modern AI/ML frameworks and tooling.
• Experience with both Cloud and On-Prem GPU infrastructure.
• Ability to define technical architecture, engineering standards, and design patterns for AI platforms.
• Proven ability to lead technical decisions and influence engineering teams without direct authority.
• Experience mentoring senior engineers.

Preferred Skills

• Databricks
• Apache Kafka
• LangGraph, CrewAI, or other Agent Frameworks
• Experience building custom ML models (Neural Networks, smaller ML models) in addition to LLMs.
• Ontology / Semantic Modeling
• Experience deploying AI/ML solutions in Operational Technology (OT), Industrial, or Safety-Critical environments.
• Industry experience in Energy, LNG, Manufacturing, or Heavy Industrial domains.