Gruve

• Provide L1, L2, and L3 network support for enterprise network environments. • Monitor, troubleshoot, and resolve network incidents within agreed SLAs. • Diagnose and resolve issues related to LAN, WAN, WLAN, VPN, DNS, DHCP, and routing/switching. • Configure, maintain, and support Cisco routers, switches, and wireless infrastructure. • Perform network health checks, maintenance, upgrades, and configuration changes. • Support firewall connectivity and basic network security troubleshooting. • Create and maintain technical documentation, incident reports, and knowledge base articles. • Work directly with clients to resolve technical issues and provide timely status updates. • Collaborate with internal teams and third-party vendors during incident resolution and planned maintenance. • Participate in on-call support and scheduled maintenance activities as required.

• Design, refine, and optimize prompts and prompt pipelines for LLM-based applications. • Build structured prompt frameworks (few-shot, chain-of-thought, role prompting, tool prompting). • Evaluate AI outputs for accuracy, bias, hallucination, and reliability. • Work with engineering teams to integrate prompts into APIs and AI products. • Develop prompt libraries and reusable templates for various use cases. • Run experiments to benchmark prompt strategies across different LLMs. • Create guardrails and evaluation methods for safe and consistent AI responses. • Collaborate with product, data science, and engineering teams to improve AI performance.

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use tools like Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, etc. • Design and integrate MCP servers, APIs, and AI agents • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, workflows, and AI orchestration patterns • Collaborate with product and UX teams to turn ideas into demos quickly • Optimize developer productivity through automation and AI tooling • Stay current with emerging AI engineering trends and frameworks

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use tools like Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, etc. • Design and integrate MCP servers, APIs, and AI agents • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, workflows, and AI orchestration patterns • Collaborate with product and UX teams to turn ideas into demos quickly • Optimize developer productivity through automation and AI tooling • Stay current with emerging AI engineering trends and frameworks

Role Description We are seeking a skilled IoT Communication Full Stack Developer to design and deliver scalable, secure, and high-performance applications that enable seamless communication between IoT devices/systems, backend platforms, and user-facing applications. The ideal candidate will have strong full stack development experience with a solid understanding of IoT communication protocols and real-time data processing. This role requires close collaboration with cross-functional teams to build reliable, enterprise-grade IoT solutions that meet business and technical requirements. Key Responsibilities - 5-10 Years of Experience in Design, develop, and maintain end-to-end full stack applications supporting IoT device communication/Desktop application along with data integration using AWS Cloud. - Implement and manage IoT communication using protocols such as MQTT, HTTP/HTTPS, WebSocket, AMQP, or CoAP. - Develop scalable backend services and APIs for device data ingestion, processing, and integration. - Enable real-time and near real-time device-to-cloud and cloud-to-device data flows. - Build intuitive and responsive web interfaces for monitoring, visualization, and device control. - Integrate IoT solutions with cloud services, databases, message brokers, and enterprise systems. - Ensure secure communication through authentication, authorization, encryption, and certificate management. - Implement cybersecurity best practices across remote access, endpoint management, cloud infrastructure, and application layers. - Build platform independent desktop application to collect telemetry of the connected devices and transmit them to AWS cloud using SDKs. - Build secure protocols for Remote Desktop/Command execution to install software patches and manage Windows machines at customer locations via the cloud. - Monitor, troubleshoot, and optimize application and communication performance. - Participate in Agile development processes, including sprint planning, reviews, and retrospectives. - Create and maintain technical documentation, design artifacts, and deploy documentation. - Implement CI/CD pipelines and ensure code quality through automated testing, code reviews, and peer validation. Qualifications - Proven experience as a Full Stack Developer delivering production-grade applications using Angular.js, Node.js, Python/C++/Rust, SQL and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cosmos DB). - Experience in developing platform independent application desktop application for telemetry data collection. - Hands-on experience with IoT communication protocols (MQTT, REST/HTTP, WebSockets, AMQP, AWS IOT SDKs). - Experience designing and consuming RESTful APIs and event-driven architectures. - Solid understanding of secure application and data communication principles. - Hands-on experience in deploying application using CI-CD pipelines, using GitHub, GitActions, Dockers, Docker-Compose. - Experience working in Agile/Scrum delivery environments. - Bachelor’s degree in computer science, Engineering, Information Technology, or equivalent experience. Preferred Qualifications - Familiarity with message brokers and streaming platforms such as Kafka, RabbitMQ, or cloud messaging services. - Experience with system monitoring, logging, and observability tools. - Exposure to edge computing, device lifecycle management, and firmware update processes. - Experience working in enterprise, security-focused, or compliance-driven environments. - Experience with cross-compilation and multi-platform build systems / legacy migration projects. - Background in medical device regulations (IEC 62304, ISO 13485) or other high-compliance industries. - Candidates from IIT (Indian Institute of Technology) are preferred. Benefits - At Gruve, we foster a culture of innovation, collaboration, and continuous learning. - We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work.

• Architect and own the MCP server ecosystem across Bio-Tech / Healthcare enterprise application portfolio • Build production-grade MCP servers in TypeScript and Python with OAuth 2.0, RBAC, and audit logging • Define tool schemas, versioning standards, and multi-agent orchestration patterns • Integrate MCP servers with SAP, Salesforce, D365, Smartsheet, Jira, Microsoft Graph API, and other business applications as per business need • Design the tool invocation and RBAC model for AI virtual employees and internal copilot personas • Align architecture with Bio-Tech / Healthcare AI Security Reference Architecture and EU AI Act compliance (Aug 2026) • Maintain an MCP server registry and contribute to internal Claude AI Launchpad enablement • Mentor AI & Automation Developers on MCP patterns and agentic integration best practices

Role Description 当社では、大規模建設・インフラ関連プロジェクトを統括する テクニカルリーダー（土木・建設） を募集しています。 - ゼネコン、設計事務所・設計エンジニアリング会社、行政機関など、社内外の関係者と密接に連携 - 設計内容の理解、工程管理、許認可対応、施工推進まで、エンジニアリング・建設プログラム全体を一貫してマネジメント - 大規模案件の推進経験を持ち、構造・土木分野に関する深い専門知識を活かして、品質・コスト・納期・安全を高水準で実現 Qualifications - 土木工学、構造工学、建築工学または関連分野の学位、もしくは同等の実務経験 - 大規模建設プロジェクトまたはインフラプロジェクトのマネジメント経験 - ゼネコン、設計会社、行政機関との調整・折衝経験 - 構造工事および土木工事に関する深い実務知識 - 設計内容を理解し、施工フェーズまで一貫して落とし込める能力 - 工程管理、コスト管理、品質管理、安全管理に関する実務経験 - 複数のステークホルダーを巻き込みながらプロジェクトを推進した経験 - 日本語での高いコミュニケーション能力 Requirements - 許認可取得、行政協議、条例・法規対応に関する知識 - データセンター、産業施設、公共インフラ、エネルギー関連施設等のプロジェクト経験 - 一級土木施工管理技士、技術士、RCCM、または関連資格 - 英語での業務対応力 - 設計変更管理、クレーム管理、契約管理の経験 - ゼネコン、エンジニアリング会社、インフラ関連企業等での勤務経験 Benefits - 勤務地：大阪府（リモート勤務可） - 雇用形態：契約社員または業務委託（応相談） - プロジェクト対応に伴い、顧客先およびプロジェクト現場への出張が発生する場合があります。 Company Description Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Role Description 当社では、産業設備およびデータセンター向け電気インフラ案件をリードするテクニカルリーダー（電気エンジニアリング）を募集しています。 本ポジションは、電力会社、電気設計会社、施工会社、社内外の関係者と連携しながら、電気設備計画の立案から設計レビュー、納期管理、導入推進まで、電気エンジニアリング全体を統括する役割です。 候補者には、大規模電気プロジェクトのマネジメント経験に加え、受変電設備、変圧器、非常用発電機、配電設備、UPS（無停電電源装置）などに関する深い知識が求められます。 また、Single Line Diagram（単線結線図）の作成・レビュー能力、設計意図の理解、プロジェクトスケジュール管理能力が必要です。 Qualifications - 電気工学または関連分野の学位、もしくは同等の実務経験 - 大規模な電気設備プロジェクトのマネジメント経験 - 産業設備、製造施設、ミッションクリティカル設備、またはデータセンターにおける電気エンジニアリング経験 - 以下設備に関する実務知識 - 変圧器 - 非常用バックアップ発電機 - 電力配電設備 - UPS（無停電電源装置） - 受変電設備 - 保護リレー／配電系統 - Single Line Diagram（単線結線図）を理解し、作成またはレビューできる能力 - 設計図書、技術仕様書、工程表を理解し、プロジェクト全体を管理できる能力 - 電力会社、設計会社、施工会社、ベンダーとの折衝・調整経験 - 設計から施工、試運転、引渡しまで一貫して管理した経験 - 日本語での高いコミュニケーション能力 Requirements - データセンターの電気設備設計または導入経験 - 高圧／特別高圧設備に関する経験 - 冗長化電源構成、可用性設計、バックアップ電源戦略に関する理解 - EPCプロジェクトまたはインフラ案件の経験 - 電気主任技術者、電気工事施工管理技士、技術士（電気電子部門）などの関連資格 - 英語での技術文書読解および会議対応能力 - 電力会社、重電メーカー、エンジニアリング会社等での勤務経験 Benefits - ダイナミックな環境での勤務 - 強力な顧客およびパートナーのネットワーク - リモート勤務可 Company Description Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Utilize tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, Windsurf, and Replit AI • Design and integrate MCP servers, APIs, AI agents, and automation workflows • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, AI workflows, and agentic architectures • Collaborate with product and UX teams to quickly turn ideas into demos and MVPs • Improve developer productivity through automation and AI-native workflows • Stay current with emerging AI engineering tools, frameworks, and best practices

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use tools like Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, etc. • Design and integrate MCP servers, APIs, and AI agents • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, workflows, and AI orchestration patterns • Collaborate with product and UX teams to turn ideas into demos quickly • Optimize developer productivity through automation and AI tooling • Stay current with emerging AI engineering trends and frameworks