Junior Backend Engineer – Node.js/Python (AI & Fintech Systems)

Winzons

India

On-site

INR 900,000 - 1,300,000

Full time

14 days+

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Job summary

Wohlig Transformations is seeking a Senior Backend Engineer to architect and build scalable backend systems in Mumbai. You will work on mission-critical platforms processing real-time data and analytics, while leveraging Generative AI to enhance automation and data intelligence.

You will design APIs with NodeJS/Python, drive event-driven architectures, and ensure secure, low-latency performance across services. mentorship and collaboration are key parts of the role.

Qualifications

  • Bachelor’s degree in Computer Science or related field preferred.
  • 1–3 years of backend development experience.
  • Strong NodeJS and Python production experience.

Responsibilities

  • Design, develop, and maintain scalable backend services and APIs using NodeJS and Python.
  • Build event-driven architectures with RabbitMQ and Kafka for real-time data.
  • Develop data pipelines using PostgreSQL and BigQuery for analytics.
  • Integrate Generative AI models into backend systems for automation and insights.
  • Develop AI-powered features such as recommendations or document processing.
  • Ensure reliability, security, and low latency for mission-critical systems.
  • Mentor junior engineers and lead design discussions.
  • Collaborate with cross-functional teams to deliver features.
  • Implement monitoring, logging, and observability.

Skills

NodeJS
Python
RESTful APIs
Microservices
Generative AI
PostgreSQL
RabbitMQ
Kafka
BigQuery
GCP/AWS/Azure
Docker/Kubernetes
Redis

Education

Bachelor’s Degree in Computer Science

Tools

OpenAI
LangChain
Embeddings

Job description

Company Name: Wohlig Transformations

Job Role: Senior Backend Engineer

Work Type: Full-Time

Experience: 1-3 Years

Qualification: Bachelor’s Degree in Computer Science or related field preferred

Location: Mumbai

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
  • 2+ 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
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