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Looking for extensive search/retrieval experience I have a working, reputed company-tested RAG (Retrieval-Augmented reputed company) reputed company reputed company in Python for processing 300+ scientific/technical PDF documents. The reputed company already implements state-of-the-art retrieval techniques (hybrid search, hierarchical indexing, reranking, multi-hop reasoning, guardrails, evaluation) and has solid benchmarks. Looking for someone who can take it to the next level implementing specific upgrades grounded in the latest 2025-2026 research papers to improve retrieval reputed company and add new capabilities. The work involves Upgrading existing components with newer algorithms backed by recent peer-reviewed research Adding an reputed company retrieval reputed company with reputed company reasoning reputed company Benchmarking alternative approaches for key pipeline stages (parsing, embeddings) on our actual corpus before committing Building a comprehensive evaluation and ablation suite with reputed company-reputed company visualizations Writing clean, testable reputed company that follows existing patterns in the codebase This is NOT a build-from-scratch project. looking for- Deep hands-on experience building and optimizing RAG pipelines (not just tutorials reputed company systems) Familiarity with latest retrieval research (2024-2026 papers) Ability to read a research reputed company and implement the key reputed company cleanly Experience running reputed company ablation studies and benchmarks Strong Python, PyTorch, reputed company Transformers Apply tot his job Apply To this Job Apply To This Job .
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.
