Software Devleopment Engineer
Experience - 3 to 5 Years
Role - FullTime
About Venwiz
At Venwiz, we are building a next-generation enterprise B2B platform that digitizes industrial
procurement and vendor management at scale. Our platform powers complex vendor discovery, search,
procurement workflows, and AI-assisted data intelligence for large industrial enterprises.
We are looking for a highly motivated Software Development Engineer I (SDE-1) who enjoys solving
backend engineering problems, building scalable APIs, optimizing databases and search systems, and
working with modern AI infrastructure in production environments.
Technology Stack
• Backend & Infrastructure: Python, TypeScript/JavaScript (Node.js), NestJS, Express.js, Flask,
FastAPI, MongoDB, Memcached (AWS ElastiCache), ElasticSearch, Vector Search Systems,
Docker, Kubernetes, Microsoft Azure, AWS, Scrapy, BeautifulSoup4, OCR Pipelines.
• AI, Messaging & Distributed Systems: Azure OpenAI (GPT Models), LangGraph, Google ADK
(Agent Development Kit), Azure Service Bus, AWS SQS/SNS, KEDA, Distributed Microservices,
Event-Driven Architectures, AI Agent Workflows, Search & Retrieval Infrastructure.
• Frontend: React 18 (TypeScript), Redux, Redux-Thunk, React Router v5, Sass (SCSS), Styled
Components, venwiz-ui
Responsibilities
• Build, maintain, and optimize scalable backend services, APIs, distributed microservices, and
frontend applications using Python, Node.js, and React.
• Develop and optimize MongoDB aggregations, ElasticSearch queries, indexing pipelines, and
large-scale retrieval workflows.
• Build responsive and scalable frontend interfaces using React, Redux, and modern UI
frameworks.
• Work on asynchronous event-driven architectures using Azure Service Bus, AWS SQS/SNS,
background workers, and KEDA-based scaling.
• Integrate AI-powered workflows using Azure OpenAI, LangGraph, vector search, and structured
extraction pipelines.
• Maintain and improve scraping, OCR, and document ingestion systems for processing structured
and unstructured enterprise data.
• Write clean, production-grade code with strong focus on testing, debugging, observability,
performance, and maintainability.
What We Look For
• Strong fundamentals in backend engineering, frontend development, and data structures.
• Good understanding of APIs, databases, scalable system design, and modern frontend
architectures.
• Ability to debug complex issues across services, frontend applications, and distributed workflows.
• Curiosity to learn modern AI infrastructure, distributed systems, and scalable web architectures.
• Ownership mindset with attention to code quality, maintainability, and user experience.
• Ability to work in fast-moving product environments.
Bonus Experience
• Experience with ElasticSearch relevance tuning, vector search, or retrieval systems.
• Exposure to LLMs, AI agents, or retrieval-augmented workflows.
• Familiarity with Kubernetes, Docker, or cloud-native systems.
• Experience building scraping, OCR, or large-scale ingestion pipelines.
• Experience with React performance optimization or large-scale frontend systems.
• Contributions to side projects, open-source work, or production systems.
