AI Product Engineer
Core
Design, build, deploy, and continuously improve AI-powered products that create measurable business value by bridging data science, software engineering, and product thinking.
Role type
AI Product Engineer
Builds
AI-powered products and solutions
Domain
Financial services, insurance, or regulated environments
Deliverable
production ML models
Required skills
Python, SQL, Golang, Rust, JavaScript, TypeScript, Linux, Windows, Classical ML, deep learning, LLMs, LLM architectures, transformer fundamentals, Knowledge grounding (RAG), Retrieval systems, vector databases, embeddings, Prompt engineering, evaluation, Context orchestration, LLM QLoRA fine-tuning, LLM Quantization, FastAPI, Llamacpp, Ollama, PyTorch, Hugging Face Transformers, Pandas, Numpy, H2O, NEXT.js, SQL Server, relational databases, Data pipelines
Preferred skills
Postgraduate qualification, Product Design, Agile development, AI related certifications
Technologies
Python, SQL, Golang, Rust, JavaScript, TypeScript, Linux, Windows, FastAPI, Llamacpp, Ollama, PyTorch, Hugging Face Transformers, NEXT.js, SQL Server
Responsibilities
Design AI solutions, build AI solutions, deploy AI solutions, continuously improve AI solutions, deliver AI solutions aligned with user needs and business objectives
Seniority
Mid-level, hands-on IC