Backend Engineer – GenAI Bangalore

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.