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Roles & Responsibilities Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services. Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data. Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding. Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask, etc. Should have knowledge of advanced prompting techniques. Implement semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate). Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis where required. Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy. Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production. Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation. Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction tasks. Interact with cross-functional teams to understand system issues and follow up with respective teams to get them fixed. Understand and identify areas of improvement across businesses and participate in solution identification and implementation. Should be able to work as an Individual Contributor on current and existing projects. Positive and problem-solving attitude, must work as an independent contributor. .
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.