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.
