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GenAI Lead Engineer (Investment Data Platforms) Exp: 2+ Years Delhi, India | Hybrid | Full time About the job We are seeking a highly skilled GenAI Lead Engineer to design and implement advanced frameworks for alternate data analysis in the investment management domain. The candidate will leverage LLM APIs (GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to power next-generation AI-driven investment insights. This role will also involve leading a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions. Responsibilities GenAI Framework Development Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis. Automation & Orchestration Design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks). Build modular pipelines for structured and unstructured data. Infrastructure & Deployment Architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters). Ensure high availability, scalability, and security in deployed AI systems. Required Candidate Profile Robust proficiency in Python with experience in frameworks such as TensorFlow or PyTorch. 2+ years of experience in Generative AI and Large Language Models (LLMs). Experience with VectorDBs (e.g., Pinecone, Weaviate, Milvus, FAISS) and document ingestion pipelines. Familiarity with data orchestration tools (e.g., n8n, Airflow, LangChain Agents). Understanding of cloud deployments and GPU infrastructure (CoreWeave or equivalent). Proven leadership skills with experience managing cross-functional engineering teams. Robust problem-solving skills and ability to work in rapid-paced, data-driven environments. Experience with financial or investment data platforms. Knowledge of RAG (Retrieval-Augmented Generation) systems. Familiarity with frontend integration for AI-powered applications. Exposure to MLOps practices for continuous training and deployment. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.