Addvisor Group
Addvisor Group
201 – 500 कर्मचारी
SaaSपरामर्शविपणन
Addvisor Group ब्राज़ील की एक एंटरप्राइज़ सॉफ़्टवेयर और कंसल्टिंग कंपनी है, जो मध्यम और बड़े व्यवसायों को वित्तीय तथा कारोबारी प्रक्रियाओं के ऑटोमेशन की सेवाएँ प्रदान करती है। इसके SaaS उत्पाद AddTax और SmartDocx संगठनों को NF-e, NFS-e, CT-e और MDF-e जैसे वित्तीय दस्तावेज़ों को प्राप्त करने, व्यवस्थित करने और प्रबंधित करने में सहायता करते हैं। इनमें SAP ECC और S/4HANA के लिए नेटिव इंटीग्रेशन तथा अन्य ERP प्रणालियों के लिए APIs शामिल हैं। Addvisor ERP चयन, SAP कार्यान्वयन और संबंधित कंसल्टिंग सेवाएँ भी प्रदान करती है। कंपनी ब्राज़ील की विभिन्न नगरपालिकाओं और अंतरराष्ट्रीय संचालन में कर अनुपालन का समर्थन करते हुए व्यवसायों को वित्तीय दक्षता बढ़ाने, प्रक्रिया लागत घटाने और अनुपालन से जुड़े जोखिम कम करने में मदद करती है।

Mid-Level Full-Stack Developer (.NET, React, and Generative AI)

Mid-level full-stack developer role focused on .NET, React, and generative AI. Define, test, and validate software and LLM-powered agent workflows.

विवरण

  • Build full-stack software at a mid-level scope
  • Work mainly with .NET and React, using AI to support work across both technologies
  • Create precise specifications, divide plans into verifiable steps, and define acceptance criteria for people and agents
  • Develop and maintain LLM context, including instructions, constraints, examples, tools or MCPs, and context-window usage
  • Use generative AI and agent-based tools in software development with structured human review
  • Assess, verify, and improve code created by AI systems and external contributors
  • Produce organized, reliable, and testable code
  • Create and maintain automated test suites
  • Collaborate through Git and pull requests
  • Work with SQL databases, data models, and agile development methods

आवश्यकताएँ

  • At least three years of professional software development experience
  • Strong proficiency in either .NET or React, with the ability to work across both using AI support
  • Core competence in Spec-Driven Development, including writing precise specifications, creating verifiable implementation plans, and defining acceptance criteria for people and agents
  • Experience engineering LLM context through instructions, constraints, examples, tool or MCP selection, and context-window management
  • Experience using generative AI and agent-based development tools with sound judgment, accountability, and consistent human review
  • Ability to thoroughly assess and correct AI-generated or third-party code
  • Ability to produce high-quality, well-structured, testable code with strong object-oriented programming and/or software design principles
  • Experience with automated unit and/or integration testing
  • Experience with Git version control and pull-request collaboration
  • Experience with SQL databases and foundational data modeling
  • Experience with agile methods such as Scrum, Kanban, or XP
  • Knowledge of Python
  • Practical experience orchestrating agents and using MCPs or connectors is a plus
  • Familiarity with evaluating and observing AI output, tracking quality, regressions, and token costs, and using model-agnostic architectures is a plus
  • Experience with distributed systems, microservices, or messaging is a plus
  • Experience with CI/CD and automated build and release processes is a plus
  • Knowledge of cloud technologies and/or containers, including Docker and Kubernetes, is a plus

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