This role focuses on backend engineering, specifically integrating Generative AI technologies into production systems.

Develop and maintain robust backend services using NodeJS and Python.
Design and implement RESTful APIs and microservices architectures.
Integrate Generative AI frameworks/APIs (such as OpenAI, LangChain) into production environments.
Implement solutions involving vector databases, prompt engineering, RAG, embeddings, and basic fine-tuning of LLMs.
Manage and optimize data persistence using PostgreSQL, focusing on query optimization and schema design.
Utilize message brokers like RabbitMQ and Kafka for asynchronous communication.
Work with data warehousing solutions like BigQuery.
Ensure high standards of security, including authentication and authorization.
Maintain development workflows using Git and CI/CD pipelines.

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.