Job Overview Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions. Key Responsibilities • Design, develop, and maintain scalable backend services and APIs using NodeJS and Python • Build event-driven architectures using RabbitMQ and Kafka for real-time data processing • Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing • Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows • Design AI-powered features such as recommendation systems, document processing, or conversational interfaces • Ensure system reliability, security, and low-latency performance for mission-critical systems • Lead technical design discussions, conduct code reviews, and mentor junior engineers • Optimize database queries, implement caching strategies, and improve overall system performance • Collaborate with cross-functional teams to deliver end-to-end product features • Implement monitoring, logging, and observability solutions Required Skills and Qualifications • 5+ years of professional backend development experience • Strong expertise in NodeJS and Python for production-grade applications • Proven experience building RESTful APIs and microservices architectures • Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering) • Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics) • Strong proficiency in PostgreSQL, including query optimization and schema design • Hands-on experience with RabbitMQ and Kafka • Experience with BigQuery or similar data warehousing solutions • Solid understanding of distributed systems, scalability patterns, and high-traffic applications • Strong knowledge of authentication, authorization, and security best practices • Experience with Git, CI/CD pipelines, and modern development workflows • Excellent problem-solving and debugging skills • Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus.