Junior AI Engineer
Core
Build and evaluate LLM-powered product capabilities for enterprise data, documents, and domain-specific reasoning in the architecture, engineering, and construction industry.
Role type
Junior IC machine-learning engineer (LLM/NLP)
Builds
LLM-powered product capabilities, document understanding pipelines, and retrieval systems
Domain
Architecture, engineering, and construction industry + Applied AI / NLP
Deliverable
production ML models
Required skills
Python, machine learning, NLP, information retrieval, LLM APIs, embeddings, RAG, evaluation metrics (precision, recall), structured and unstructured data handling
Preferred skills
PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, vector databases, knowledge graphs, FastAPI
Technologies
Python, PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases
Responsibilities
Build and evaluate LLM-powered product capabilities; Develop pipelines for document understanding, information extraction, and retrieval; Experiment with embeddings, reranking, RAG, and agentic workflows; Create evaluation datasets and measure accuracy, relevance, and reliability; Analyse failure cases and improve prompts, models, and guardrails; Work with engineers and domain specialists to take prototypes into production; Maintain clear documentation of experiments and technical decisions