Backend Engineer Gen AI

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.