Backend Engineer - Gen AI (Python,Node.JS)

Whitefield Careers; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Whitefield Careers is seeking a backend developer in Mumbai with 3+ years of professional experience. You will build production-grade services using NodeJS and Python, design RESTful APIs and microservices, and integrate Generative AI frameworks.

The role involves working with PostgreSQL, message queues (RabbitMQ, Kafka), and data warehousing (BigQuery). Strong security practices and modern CI/CD workflows are essential.

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 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.

Skills

Backend development

NodeJS

Python

RESTful APIs

Microservices

Generative AI frameworks

LLM integration

Distributed systems

Security best practices

CI/CD

Problem solving

FinTech / data privacy

Tools

PostgreSQL

RabbitMQ

Kafka

BigQuery

Git & CI/CD tooling

Docker

Kubernetes

Redis / Memcached

OpenAI / LangChain

Job description

• 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, 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.