Description:

Backend Engineer with strong applied ML experience to build production systems for extracting and structuring information from unstructured data.
Focus on developing reliable Python backend services around NLP, retrieval, and LLM-powered workflows.

Requirements:

Strong Python backend engineering experience.
Experience with API frameworks such as FastAPI, Django, Flask, or similar.
Production experience with NLP, ML, information extraction, retrieval, ranking, or summarisation systems.
Ability to take research ideas or prototypes into production.
Strong understanding of evaluation, metrics, and quality measurement for ML/LLM systems.
Practical experience with retrieval systems like RAG, BM25, embeddings, hybrid search, or reranking.
Comfortable working with messy, ambiguous, or incomplete real-world data.
Ability to build reliable services around ML workflows, including monitoring and failure handling.
Good understanding of LLM limitations and safe user-facing AI.
Strong ownership mindset and ability to work independently in ambiguous product areas.

Fully remote role.
Competitive compensation based on experience and impact.
Opportunity to work on high-leverage automation systems at the intersection of backend engineering, applied ML, data, and operational workflows.
Competitive salary with potential equity options based on performance.

Skills