This is a remote position. Job Summary: We are seeking a dynamic and knowledgeable Course Product Manager to lead curriculum development and instructional innovation for our Software Engineering and AI-integrated program. The role demands expertise in JavaScript, Python, React, Django, REST APIs, PHP, AI tools like ChatGPT, Gemini, Hugging Face, and experience managing both full-stack development and AI application development aligned with SCTP course structures. The ideal candidate will bring a passion for education and future-focused technology, with the ability to integrate LLMs, Power Platform (Power BI, Power Apps, Power Automate), DataVerse, Co-Pilot Studio, and ML/DL frameworks into modular, industry-relevant learning pathways. Ke y Responsibilities: Design, develop, and manage the end-to-end course roadmap Content development as per the different frameworks ( WSQ, Pearson , University) Collaborate with SMEs and academic teams to ensure alignment with course nomenclature and occupational standards. Develop project-based assessments and capstone projects reflecting real-world software and AI implementations. Continuously research and integrate AI advancements, including LLMs, prompt engineering, Python ML libraries, and low-code/no-code AI tools. Evaluate and update the curriculum using learner feedback, employer input, and technological shifts. Ensure strong cross-functional collaboration with faculty, instructional designers, industry partners, and certification bodies. Requirements Requirements Required Skills and Qualifications: Bachelor’s/Master’s in Software Engineering, Computer Science, or a related field. 4+ years of experience with: Full-stack web development: HTML, CSS, JS, React, Django, REST APIs Programming languages: Python (including Django), PHP - Laravel Database: MySQL, Power BI AI technologies: ChatGPT, Gemini, Hugging Face, prompt engineering Power Platform: Power Automate, Power Apps, DataVerse, Co-Pilot Studio Knowledge of ML/DL, AI model integration, and AI ethics. Familiarity with Agile/Scrum practices and tools. Experience designing and managing capstone projects or enterprise applications. Strong communication, curriculum design, and stakeholder engagement skills.
Job Title: Product Manager -Software Engineering Location: Remote Job Type: Full-Time Job Summary: We are seeking a dynamic and knowledgeable Course Product Manager to lead curriculum development and instructional innovation for our Software Engineering and AI-integrated program. The role demands expertise in JavaScript, Python, React, Django, REST APIs, PHP, AI tools like ChatGPT, Gemini, Hugging Face, and experience managing both full-stack development and AI application development aligned with SCTP course structures. The ideal candidate will bring a passion for education and future-focused technology, with the ability to integrate LLMs, Power Platform (Power BI, Power Apps, Power Automate), DataVerse, Co-Pilot Studio, and ML/DL frameworks into modular, industry-relevant learning pathways. Key Responsibilities: Design, develop, and manage the end-to-end course roadmap Content development as per the different frameworks ( WSQ, Pearson , University) Collaborate with SMEs and academic teams to ensure alignment with course nomenclature and occupational standards. Develop project-based assessments and capstone projects reflecting real-world software and AI implementations. Continuously research and integrate AI advancements, including LLMs, prompt engineering, Python ML libraries, and low-code/no-code AI tools. Evaluate and update the curriculum using learner feedback, employer input, and technological shifts. Ensure strong cross-functional collaboration with faculty, instructional designers, industry partners, and certification bodies. Required Skills and Qualifications: Bachelor’s/Master’s in Software Engineering, Computer Science, or a related field. 4+ years of experience with: Full-stack web development: HTML, CSS, JS, React, Django, REST APIs Programming languages: Python (including Django), PHP - Laravel Database: MySQL, Power BI AI technologies: ChatGPT, Gemini, Hugging Face, prompt engineering Power Platform: Power Automate, Power Apps, DataVerse, Co-Pilot Studio Knowledge of ML/DL, AI model integration, and AI ethics. Familiarity with Agile/Scrum practices and tools. Experience designing and managing capstone projects or enterprise applications. Strong communication, curriculum design, and stakeholder engagement skills. Job Types: Full-time, Permanent Benefits: Health insurance Work from home Schedule: Monday to Friday Application Question(s): How many years of experience do you have in software engineering? Do you have experience in curriculum development? (if yes, for how many years?) How much is your expected salary? (per month, in INR)
Position Overview We are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft’s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models. The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions. Key Responsibilities · Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security. · AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio. · Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM) · MCP Integration Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers. · End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability. · Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes. · Data & Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG). · Data Pipelines Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation. · Collaboration & Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets. · Continuous Improvement Stay updated with Microsoft’s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs. Required Skills & Qualifications · Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. · 3–6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms. Certifications in Microsoft Certified: AI-102 – Azure AI Engineer Associate or Azure Solutions Architect DP-100 – Azure Data Scientist Associate AZ-204 – Azure Developer Associate AZ-400 – Azure DevOps Engineer Expert · Hands-on experience with: o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI) o Knowledge Microsoft Copilot Studio & Power Platform o Azure Functions, AKS (Kubernetes), App Services, Logic Apps o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.) o Azure Fabric Pipelines · Strong programming background in Python, C#, or Node.js for AI/LLM development. · Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel). · Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions. · Understanding of enterprise security, compliance, and data governance in Azure. Preferred Skills · Experience integrating AI into enterprise systems (Eg. CRM, ERP, LMS). · Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs. · Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads. · Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications. · Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement. · Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments · Exposure to Agile/Scrum methodologies for project delivery. Job Type: Full-time Pay: ₹185,000.00 - ₹240,000.00 per month Benefits: Health insurance Work from home