Semantic Backend Engineer (Contract, Remote)

Infuse; eMalahleni; Remote; ZAR 200 000 - 300 000; Full time

Job summary

A forward-thinking tech company in Mpumalanga is seeking a candidate to own the ETL pipeline processing raw PDFs into structured resources. The role involves working with ML pipelines, implementing content freshness logic, and collaborating closely with team leads on UX integration. Ideal applicants will have experience with semantic search and a passion for transforming unstructured data into valuable insights.

Qualifications

• Experience building ML pipelines that touched real users.
• Experience with semantic search and unstructured data.
• Ability to work fast, iterate with feedback, and track important metrics.

Responsibilities

• Own the ETL pipeline from raw PDFs to structured resources.
• Finalize summarization and classification flow.
• Implement logic to identify and index new or updated content.
• Examine and query embeddings using Milvus or pgvector.

Skills

Python

PyTorch

semantic search

embeddings

FastAPI

Docker

Job description

INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.

Overview

INKHUB is ingesting 10 million raw PDFs to build the Internet's richest catalog of marketing-grade B2B content — tagged, summarized, and searchable by topic, company, or intent.

What You’ll Do

• Own the ETL pipeline from raw PDFs (S3-ingested) to structured resources.
• Finalize our summarization and classification flow using open-source models with GPT-4o fallback.
• Apply filtering logic (e.g., 3‑year age, page count) to enforce resource quality.
• Map each asset to the specific topic taxonomy (10+ per topic across ~9 topics).
• Generate dense embeddings using sentence‑transformers.
• Load and query embeddings using Milvus or pgvector.
• Implement “freshness” logic to identify and index only new or updated content based on file diffing, crawl timestamp, or document hash.
• Build a QA/eval harness: format compliance, recall@5, drift monitoring.
• Expose /v1/semantic‑search via FastAPI, with filtering and rank fusion.
• Collaborate closely with our Tech Lead on UX integration and snippet generation.

Your Toolbox

Python, PyTorch, sentence‑transformers, OpenAI APIs, or similar pretrained LLMs. FastAPI, Milvus or pgvector, PyPDF/Tika, Airflow or Lambda for orchestration. Docker, GPU scheduling, Athena/Redshift SQL.

You Might Be a Fit If

• You’ve built ML pipelines that touched real users, not just notebooks.
• You’ve worked on semantic search, embeddings, or large‑scale tagging.
• You’ve wrestled with unstructured data and love turning chaos into clarity.
• You like working fast, iterating with feedback, and tracking metrics that matter.

Why This Role Matters

Your models decide what gets found, how it's tagged, and which content and companies stand out. You’ll help define what “relevance” and “freshness” mean for over a million resources and 50+ company pages and make sure INKHUB stays ahead of the curve.

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