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Job Summary Monoedge is looking for an AI / RAG / Applied ML Engineer to build reliable, grounded, and production-ready AI systems. The role focuses on RAG, natural-language-to-SQL, retrieval quality, LLM evaluation, and applied machine learning, with a strong emphasis on correctness and preventing hallucinated answers. Key Responsibilities Build natural-language-to-SQL systems with validation and self-correction mechanisms.Improve retrieval quality using vector embeddings, semantic retrieval, graph-based retrieval, and ranking.Ground AI-generated answers in real data and provide appropriate citations.Build validation mechanisms to prevent hallucinated values and unsupported claims.Implement query safety and strict multi-tenant data isolation.Improve automated analytical findings, including quality, ranking, severity calibration, and business-readable output.Build evaluation frameworks with correctness and safety gates to prevent regressions.Optimize LLM cost, latency, prompts, and model selection.Requirements Production experience with LLM / RAG systems, not just prototypes.Strong understanding of embeddings and vector search.Strong Python and SQL skills.Experience designing evaluations and benchmarks for LLM correctness and safety.Strong verification mindset and ability to validate model-generated outputs before trusting them.Nice to Have Local embedding models such as sentence-transformers / BGE-classpgvectorAgentic or multi-step LLM frameworks such as LangGraphGraph-based retrieval and knowledge graphsStatistics or causal-inference backgroundTechnology Stack Python | SQL | LLM APIs | PostgreSQL / pgvector | sentence-transformers | Vector Search | Evaluation Tooling Compensation: 1,000,000.00 - 1,800,000.00 per year Work Location: In person .
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.