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Concretely, you’ll be working on things like: - Data ingestion and metadata pipelines for whole slide images - De-identification and integrity checking of WSI files - Dataset splitting and stratification tools - Lightweight review and management UIs - CI, packaging, and test coverage for the above This is not a backend or frontend role. There’s no microservice architecture to maintain. The problems are scientific and data-oriented; the solutions are focused, deployable Python tools. We integrate AI assistance heavily into our development workflow — from requirements exploration to code review. Comfort working alongside AI tooling is a plus; experience shaping how a team uses it is even better. What we’re looking for Essential: - Strong Python — you write clean, testable, well-documented code without being prompted - Comfort working with data: tabular data, file-based pipelines, validation, transformation - Engineering common sense: you can design a simple system, reason about trade-offs, and know when not to over-engineer Self-directed: given a requirement and context, you can run with it and ask the right questions Useful background - Image data or signal processing (library is secondary — OpenCV, scikit-image, PIL, anything) - SQL and data warehousing (Snowflake, DBT, or similar) - CI/CD pipelines and packaging (GitHub Actions, uv, Docker) - Lightweight UI work in Python (NiceGUI, Streamlit, Gradio, or similar) - Experience in a regulated or quality-managed environment (medical devices, clinical, GxP, ISO, automotive, aerospace — any domain where software quality is formally managed).
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.