Applied AI Engineer
Core
Develop, evaluate, and deploy AI systems and LLM features across the ML lifecycle, including model development, production serving, and platform tooling.
Role type
Junior Applied AI Engineer
Builds
Production ML and LLM features, APIs, and internal platform tooling
Domain
Generative AI, Large Language Models (LLMs), Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, Hugging Face, ML fundamentals, Git/GitHub, Generative AI, Transformer architectures
Preferred skills
RAG, agentic systems, Docker, Kubernetes, Azure, AWS, GCP, NLP, deep learning, distributed systems
Responsibilities
Write and maintain production-quality code for ML features and APIs; Build and operate evaluations to measure model quality; Support deployment and monitoring of ML systems on cloud infrastructure; Build internal platform tooling to accelerate team delivery; Collaborate with engineers, data scientists, and product stakeholders.
Seniority
Junior (0–2 years experience)