
Financial Research Automation Specialist
2 days ago
Transforming the future of financial research with AI-driven insights is a groundbreaking opportunity for skilled professionals.
Role OverviewAs a cutting-edge GenAI Engineer, you will develop and deploy next-generation tools to revolutionize daily workflows for financial analysts. If you are passionate about leveraging LLM-powered agents, workflows, and financial automation, this is your chance to apply your expertise in a high-impact domain.
Key Responsibilities- Design and build innovative LLM-powered agents to automate complex research and analysis tasks.
- Develop efficient search pipelines and RAG systems for financial data, ensuring seamless integration and scalability.
- Deploy production-ready solutions on cloud infrastructure, utilizing agile methodologies and continuous improvement practices.
- Collaborate closely with experienced analysts and AI engineers to deliver features that drive real-world impact.
- Recent graduate or 1–2 years of experience in software/AI engineering, with a strong foundation in computer science fundamentals.
- Proficiency in coding skills in Python or TypeScript, with experience in object-oriented programming and design patterns.
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack), with knowledge of API integrations and data processing pipelines.
- Exposure to search and RAG pipelines (keyword + vector embeddings), with understanding of information retrieval principles and data structures.
- A GitHub portfolio or projects demonstrating hands-on GenAI builds, showcasing technical expertise and creative problem-solving skills.
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