Sr. SDE – GenAI

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 Big. Query 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 3+ 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, Lang.

Chain, 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 Big. Query 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.