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Open nowPosted 185 days ago

Python+ React Developer

Syren Cloud34 open roles

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Your applicationOpen nowPython+ React DeveloperSyren Cloud

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Syren Cloud's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 185 days ago

The posting

About Syren Cloud

Syren Cloud is a leading provider of cloud-based solutions, empowering businesses to enhance supply chain resilience and operational efficiency. Our innovative platforms and services help streamline processes, improve data quality, and enable strategic decision-making. We are committed to delivering high-quality technology solutions while fostering a culture of collaboration, innovation, and continuous improvement.

Role Overview

We are looking for a skilled Software Engineer with strong expertise in front-end development using ReactJS and TypeScript, along with hands-on experience in Python, Retrieval-Augmented Generation (RAG), and Agentic AI.

The ideal candidate will develop responsive, high-performance web applications and integrate AI-powered capabilities into scalable software solutions. This role requires a combination of strong software engineering fundamentals, problem-solving abilities, and practical experience building AI-driven applications using modern frameworks and cloud technologies.

Key Responsibilities

  • Design, develop, and maintain responsive, interactive user interfaces for web applications using ReactJS, TypeScript, HTML, and CSS.
  • Build reusable UI components and front-end libraries to support scalable and maintainable application development.
  • Develop dynamic web interfaces, forms, data visualizations, graphs, and interactive reporting components.
  • Build and integrate backend services and APIs using Python.
  • Design, develop, and maintain RAG pipelines for knowledge retrieval and context-grounded AI responses.
  • Develop AI-powered workflows and Agentic AI applications to automate tasks and support intelligent decision-making.
  • Integrate front-end applications with backend services, APIs, and AI models.
  • Work with Azure cloud services, including Azure App Service, Azure Key Vault, and Azure Functions.
  • Test, debug, troubleshoot, and optimize applications for performance, reliability, security, and cross-browser compatibility.
  • Collaborate with product managers, designers, backend engineers, and other stakeholders to translate business requirements into technical solutions.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Use tools such as Jira, Bitbucket, and AI-assisted development tools to support effective software delivery.

Mandatory Skills and Qualifications

  • Strong proficiency in TypeScript, JavaScript, HTML5, and CSS3.
  • Extensive hands-on experience with ReactJS and modern front-end development practices.
  • Strong understanding of data structures, algorithms, and software engineering fundamentals.
  • Hands-on experience with Python application development.
  • Practical experience with Retrieval-Augmented Generation (RAG) pipelines and Agentic AI.
  • Familiarity with Azure cloud services, particularly Azure App Service, Azure Key Vault, and Azure Functions.
  • Experience developing and integrating REST APIs and backend services.
  • Strong problem-solving, debugging, and troubleshooting skills.
  • Ability to understand business requirements and translate them into scalable technical solutions.
  • Experience working with Jira, Bitbucket, and AI-assisted development tools.
  • Excellent communication, collaboration, time management, and teamwork skills.

Preferred Skills

  • Experience with LLM-based applications, prompt engineering, embeddings, vector databases, and semantic search.
  • Familiarity with AI frameworks such as LangChain or LangGraph.
  • Experience building production-grade AI applications and integrating LLM APIs.
  • Knowledge of CI/CD pipelines, Git-based workflows, automated testing, and application deployment.
  • Experience developing data-intensive dashboards, visualizations, and responsive web applications.
  • Understanding of application security, performance optimization, and scalable software architecture.
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