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Company Overview : Intellect Design Arena Limited is a global leader in financial technology, specializing in next-generation banking software across retail, corporate, and central banking sectors. With a robust portfolio of platforms including eMACH.ai, the company empowers financial institutions to accelerate digital transformation through composable, cloud-native, and API-first architectures. Operating across major global markets, Intellect combines deep domain expertise with advanced engineering to deliver mission-critical solutions for the world's leading financial organizations. Role Overview : As a GenAI Engineer, you will be at the forefront of integrating Large Language Models and generative AI capabilities into our core banking platforms. You will work closely with product managers, data scientists, and domain experts to design and deploy intelligent systems that automate complex financial workflows and enhance user decision-making. This role is pivotal in shaping the future of our product suite, ensuring that our AI implementations are not only technically sophisticated but also secure, scalable, and directly aligned with the high-performance requirements of global financial institutions. Key Responsibilities : - Architect and implement end-to-end generative AI pipelines, including RAG (Retrieval-Augmented Generation) systems, to improve the accuracy and relevance of automated banking insights. - Fine-tune and optimize pre-trained LLMs to handle domain-specific financial data, ensuring high precision in document analysis and regulatory reporting tasks. - Collaborate with cross-functional engineering teams to integrate AI-driven features into existing microservices, enhancing the overall functionality of the eMACH.ai ecosystem. - Establish robust evaluation frameworks to monitor model performance, mitigate hallucinations, and ensure compliance with financial data privacy and security standards. - Translate complex business requirements into scalable AI solutions that drive operational efficiency and superior customer experiences for our global banking clients. Required Skillset : - Demonstrated proficiency in building and deploying LLM-based applications using frameworks such as LangChain, LlamaIndex, or similar orchestration tools. - Strong programming expertise in Python, with a deep understanding of machine learning libraries like PyTorch, TensorFlow, or Hugging Face Transformers. - Proven ability to design and manage vector databases and search indexing strategies to support high-scale retrieval systems. - Excellent communication skills to effectively articulate technical AI concepts to non-technical stakeholders and collaborate within a high-growth, global team environment. - A solid foundation in computer science or a related quantitative field, typically evidenced by a degree from a top-tier engineering institution. - High adaptability to a hybrid work environment, demonstrating the ability to manage complex technical projects independently while maintaining alignment with global team objectives. (ref:hirist.tech) .
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.