CareerPlan

Lead Generative AI Engineer

2 LocationsFull-time2026-07-16 → 2026-11-12

Core

Designing and operating production-grade generative AI systems, LLM Ops pipelines, and AI platforms to deliver scalable, secure, and performant AI solutions for enterprise energy applications.

Role type

Lead Generative AI Engineer (hands-on IC with mentorship)

Builds

Production-ready generative AI services, LLM Ops pipelines, and AI platforms for enterprise energy solutions

Domain

Energy industry + Generative AI / MLOps

Deliverable

production ML models

Required skills

Python, PyTorch, TensorFlow, Hugging Face, transformer architectures, MLOps tooling, Kubernetes, RAG systems, vector databases, prompt optimization, model quantization, CI/CD for models

Preferred skills

PhD in CS/AI/ML, experience with VLMs and multimodal models, strong delivery focus

Technologies

PyTorch, TensorFlow, Hugging Face, Kubernetes, vector databases, LLM Ops platforms

Responsibilities

Engineering and deploying production generative AI solutions (LLMs, VLMs); Designing and operating LLM Ops pipelines; Building and maintaining AI platforms for prompt management and RAG; Integrating AI capabilities into enterprise applications; Implementing MLOps best practices (CI/CD, testing, observability); Optimizing model performance (latency, throughput, cost); Mentoring engineers and contributing to reusable frameworks

Seniority

Senior, hands-on IC with mentorship responsibilities