Smartedge Solutions Ltd

Integrate with enterprise systems such as SAP HANA, Kafka, and UiPath. Build and deploy agents on Microsoft AI Foundry (preferred) and Copilot Studio (optional). Implement workflows with Azure Machine Learning, Azure DevOps, and GitHub Your Profile Essential skills/knowledge/experience: Proven experience leading AI engineering teams and delivering enterprise-grade solutions. Strong technical depth in AI/ML, cloud platforms, and agentic system design. Ability to navigate ambiguity, drive clarity, and influence across functions. Passion for building transformative AI systems that solve meaningful problems

Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track record in system integration testing and production deployment. Familiarity with container apps, VNET configurations, and cloud networking. Experience in enterprise software development and integration. Desirable skills: Good understanding of BDD/TDD Hands on experience with UNIX commands. Key responsibilities: System Integration & Architecture Application Development & Deployment Access & Security Management Collaboration & Leadership Issue Resolution & Support

Key responsibilities: Define and own the enterprise AI architecture strategy and technical roadmap aligned with business goals. Design secure, scalable AI architectures and set governance standards for agent life cycle, data lineage, and interoperability. Assess and select AI platforms and frameworks (eg, LangChain, AutoGen) for performance and security within Azure. Guide teams on deployment, integration, and testing; promote best practices in AIOps, LLMOps, and agile delivery. Ensure data readiness by building robust pipelines with tools like Databricks for timely, accurate inputs to AI agents. Embed security, privacy, and ethical AI principles; ensure compliance with global regulations and internal policies. Work with cross-functional teams to translate business needs into AI solutions and drive adoption. Stay ahead of trends in Generative and Agentic AI; introduce new approaches to enhance architecture and unlock opportunities. Your Profile Essential skills/knowledge/experience: Extensive experience in the IT domain, with strong expertise in an enterprise architecture role and AI/ML, including practical experience with Agentic AI systems and Generative AI. Deep expertise in enterprise architecture frameworks (eg, TOGAF, Zachman) and cloud-native architecture, preferably on Microsoft Azure. Understanding of LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong knowledge of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business value. Excellent communication, leadership, and analytical skills, with the ability to influence stakeholders at all levels.

About the Role: We are looking for a highly skilled Full Stack Engineer with expertise in React.js , Python (Flask/FastAPI/Django) , and Azure Cloud , who is passionate about integrating Generative AI models and optimizing modern application architectures. You will be responsible for building end-to-end intelligent systems that connect dynamic Front End interfaces with powerful AI-enabled Back End services. Key Responsibilities: Front End Development: Develop responsive and interactive UIs using React.js , JavaScript (ES6+) , and TypeScript . Utilize modern styling frameworks such as Tailwind CSS or Material-UI . Manage application state with Redux or Zustand . Ensure cross-browser compatibility and Front End performance optimization . Back End Development: Design and implement robust RESTful and GraphQL APIs using Python frameworks ( Flask , FastAPI , or Django ). Build and maintain secure authentication , authorization , and data processing pipelines . Integrate AI models into Back End systems to enhance product functionality. AI Model Integration: Embed pre-trained Generative AI models and Agentic frameworks (A2A, MCP) into scalable applications. Optimize inference pipelines using ONNX , TensorRT , or similar tools. Ensure smooth communication between Front End , Back End , and AI endpoints . Cloud & DevOps: Deploy and manage applications on Microsoft Azure using AKS (Azure Kubernetes Service) , Azure Functions , and Databricks . Automate infrastructure setup through Terraform . Implement CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins . Containerize applications with Docker and orchestrate them with Kubernetes . Monitoring & Optimization: Monitor systems using Azure Monitor , Grafana , and Prometheus . Troubleshoot and optimize AI model performance and user experience . Collaboration & Best Practices: Work closely with cross-functional teams (Data Engineers, AI Scientists, Cloud Architects). Participate in code reviews , testing , and documentation to ensure security , scalability , and maintainability . Required Skills & Qualifications: Front End: React.js , JavaScript (ES6+)/TypeScript , HTML5 , CSS3 , Tailwind CSS , Material-UI Back End: Python (Flask, FastAPI, Django) , RESTful/GraphQL APIs Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.) AI Integration: Familiarity with ONNX , TensorFlow Serving , A2A , MCP , and Generative AI models Cloud & DevOps: Azure , Databricks , Terraform , Docker , Kubernetes CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins Version Control: Git , GitHub

Excellent knowledge in Golang Excellent knowledge in developing microservices & RESTful APIs Experience in Kafka Experience with SQL/NoSQL database Experience developing Back End systems Excellent leadership and managerial skills Experience in Agile (Scrum/Kanban) software development methodology Experience with ALM, JIRA Good knowledge on DevOps and CI/CD Good knowledge on Docker and Kubernetes Experience developing resilient, scalable software and writing high quality code Good problem solving, analytics, and debugging skills Experience in fast-paced collaborating coding environments