Mid-Level AI Engineer
Core
Design, build, and deploy production-grade ML and LLM-based systems (RAG, agentic workflows, fine-tuning) for enterprise clients.
Role type
Mid-Level Machine Learning Engineer (GenAI/LLM)
Builds
Production ML systems, RAG pipelines, agentic workflows, and fine-tuned LLM applications
Domain
Enterprise AI, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, RAG pipelines, LangChain, MLOps, AWS/GCP/Azure deployment, performance optimization
Preferred skills
Client stakeholder management, industry conference representation
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, LangChain, AWS, GCP, Azure
Responsibilities
Design and deploy production ML/LLM systems; Own technical delivery from architecture to monitoring; Work directly with client engineering teams; Mentor junior ML engineers; Shape internal best practices and tooling; Represent the company technically in client conversations
Seniority
Mid-Level, hands-on IC with mentorship responsibilities