Based on your search criteria and filters
Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .
Job Summary We are seeking a skilled and motivated Software Engineer to join our growing team. This role will be based in Bangalore, Chennai, Hyderabad, or Pune. The ideal candidate will possess a strong foundation in software development principles and a passion for building innovative solutions. Key Responsibilities This position requires a seasoned professional capable of independently designing, developing, and implementing software solutions. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills: Proven ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Microsoft Dynamics 365 Customer Engagement (CE): Proficiency in developing and customizing solutions within the Microsoft Dynamics 365 environment. Power Platform: Experience leveraging the Power Platform to build low-code/no-code solutions. Dataverse: Solid understanding of Dataverse and its capabilities for data storage and management. Azure Cloud Services: Familiarity with Azure Cloud Services and their application in building scalable and reliable applications. C#: Strong programming skills in C# . ASP.NET: Experience developing web applications using ASP.NET . JavaScript: Proficiency in JavaScript for front-end development. Web APIs: Ability to design and consume Web APIs . Power Automate: Experience using Power Automate to automate business processes. Logic Apps: Ability to utilize Logic Apps for integration and workflow automation. Azure Integration Services: Knowledge of Azure Integration Services for building robust integration solutions. DevOps: Understanding of DevOps principles and practices. CI/CD Practices: Experience implementing CI/CD pipelines for automated builds and deployments. Microsoft Copilot Integration: Ability to leverage Microsoft Copilot for enhanced development productivity. Agile Methodologies: Experience working within Agile development frameworks. GitHub: Proficiency in using GitHub for version control and collaboration. API: Understanding of API design and implementation principles. Microsoft Azure: Experience with the Microsoft Azure platform. Qualifications: A Bachelor's Degree is required. Experience Required: A minimum of 6 - 6 years of relevant experience is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. What We Offer Salary:
Job Summary We are seeking a skilled Power Platform Software Engineer to join our IT / Technology team. This role will focus on leveraging the capabilities of the Power Platform to build and maintain robust, efficient, and scalable solutions. The ideal candidate will possess a strong foundation in software development principles and a passion for utilizing innovative technologies to solve complex business challenges. Key Responsibilities The Power Platform Software Engineer will be responsible for the full lifecycle of application development, from initial design and development to testing, deployment, and ongoing support. This includes collaborating with stakeholders to gather requirements, translating those requirements into functional solutions, and ensuring the quality and performance of the developed applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 years of experience in software development is expected. This level of experience indicates a proficiency in designing, developing, and implementing complex software solutions. Programming Languages: Demonstrated proficiency in Python is essential. Data Visualization & Business Intelligence: Expertise in Power BI for creating insightful reports and dashboards. Data Warehousing & Analytics: Experience with BigQuery for data analysis and querying. Artificial Intelligence: Familiarity with AI concepts and their application in business solutions. Power Platform Development: Strong skills in Power Apps for building custom applications, Power Automate for workflow automation, and Copilot Studio for creating intelligent chatbots. Microsoft Technologies: Proficiency in Microsoft Sharepoint for collaboration and document management, Microsoft Copilot for enhanced productivity, and AI Builder for incorporating AI capabilities into applications. Data Management: Experience with Microsoft Dataverse for data storage and management. API Integration: Ability to work with Microsoft Graph API and REST APIs for integrating with external systems. Cloud Computing: Solid understanding of Azure Services and GCP for cloud-based application deployment and management. Integration Technologies: Experience with Logic Apps and Azure Functions for building integrations and automating tasks. Data Management & Integration: Ability to perform Data Integration and Migration of data. Software Development Best Practices: Strong understanding of Reporting , Analytics , Testing , Quality Assurance , and UAT methodologies. Collaboration & Communication: Excellent Collaboration and Support skills for working effectively with cross-functional teams. Application Lifecycle Management: Experience in App Development , Modernization , and Optimization of existing applications. Workflow Automation: Ability to design and implement Workflow Automation solutions. What We Offer
Based on your filters
