Associate Software Engineer

About the Role

We're a small, fast-moving engineering team building an AI-powered product that automates slow, manual, expert-heavy work. You'll help build the data sets that power our models and make sure the data our system produces is accurate and trustworthy. It is hands-on, detail-heavy work with real ownership from week one, and a close-up view of how a production AI pipeline actually works.

Key Responsibilities

• Build tools in Python that collect data from public web sources at scale.
• Create and curate clean, labeled datasets used both to train and evaluate our models and to check our system's accuracy.
• Support model training and improvement: prepare training and evaluation sets, run experiments, and measure results.
• Validate our product's output against reference datasets and clearly flag anything that is wrong.
• Help measure accuracy and coverage, and track how they improve over time.
• Provide light backend support (APIs, database queries) as you ramp.

Requirements & Tech Stack

• Solid Python fundamentals.
• Basic web scraping (requests, BeautifulSoup, Playwright, or eagerness to learn fast).
• SQL and relational database basics.
• Git basics.
• Strong attention to detail and a "measure it, don't guess" mindset.
• Ownership: you finish what you start and escalate clearly when stuck.

Qualifications (Nice to have)

• Exposure to machine learning: dataset preparation, training, or model evaluation.
• Pandas or data-wrangling experience.
• Exposure to OCR, LLMs, or document processing.
• JavaScript, React, or Node.
• Docker basics and good DSA fundamentals.