Backend Engineer – Generative AI

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.

Required Skills:

APIsMicroservices architectureRabbitMQKafkaPostgreSQLBigQueryGenerative AI frameworks (OpenAI LangChain)Vector databasesPrompt engineeringLLM integration (RAG embeddings finetuning)Database query optimizationCaching (Redis Memcached)DockerKubernetesCI/CD pipelinesGitAuthentication & authorizationSecurity best practicesProblemsolvingDebugging