225 Copilot Jobs - Page 6

Responsibilities: * Design automation solutions using SAP AI, CoPilot & UiPath. * Collaborate with cross-functional teams on RPA implementation. * Ensure compliance with industry standards and best practices.

Role & responsibilities Personal responsibility (if any) / Performance measures: Key Responsibilities: Develop and maintain applications using the Copilot ecosystem. Integrate Azure AI services to enhance application functionality. Design and implement workflows using Power Automate. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Troubleshoot and resolve issues related to AI and automation solutions. Stay updated with the latest trends and advancements in AI, automation, and related technologies. Functions / Day-to-day activities: Bachelor's / masters degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualifications : Bachelor's / master’s degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred candidate profile

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Location: Mumbai , Pune, Chennai, Hyderabad, Bangalore, Noida NP: Immediate-30 days We are looking for a Power Platform Developer to join our team In this role you will be responsible for designing developing and implementing solutions using the Microsoft Power Platform suite including Power Apps Power Automate and Power BI and Azure services The ideal candidate should have a strong background in software development experience with the Microsoft Power Platform Azure AI services skills and the ability to create solutions that improve business processes and decision making. Ideal candidate should be Total experience should be 8 years Develop and maintain applications using Microsoft Power Apps Automate business processes and workflows using Microsoft Power Automate Create data visualization and reporting solutions using Power BI Working experience with Copilot Studio to build Copilots Working experience with Azure AI services and Python data analytics skills Should be able to use Azure Open AI and other GenAI capabilities in Azure cloud Collaborate with business stakeholders to gather requirements and deliver custom solutions Integrate Power Platform solutions with other Microsoft services and thirdparty applications Ensure solutions are scalable maintainable and secure Provide technical support and training to users Stay updated with the latest features and updates in the Microsoft Power Platform Ability to understand the business process and create process flow diagrams when required Analyse business problems design technology solutions to these problems and manage the solution through the full life cycle Works in collaboration with projects teams to develop test Integrate implement and support solutions using RPA platform s Responsible for ensuring an efficient integration of programming deliverables timely builds and overall code quality Good communication and analytical skills with troubleshooting the issue on own Candidate should be ready to work in weekend and night shifts Power Platform Certification is added advantage Knowledge of Python is added advantage

Power Apps (MDA & Canvas) Power Automate (Cloud Flow and PAD) CoPilot Studio (Multi Agent, MCP, Azure AI Foundry) – atleast 1 project exp Azure PaaS Integration (Azure Functions/Logic Apps, Azure AI Foundry)

Dear Candidates , Please find the job description - Expert in Power Apps, Power Automate, Copilot Studio, Dataverse development 3 or more years of experience in power apps development 3 or more years of experience in power automate cloud & desktop flows development 1 or more years of experience in Approval Flows development 2 or more years of experience in Dataverse, Power Pages, AI Hub database 1 or more years of experience in Sharepoint development 1 or more years of experience in API Development 2 or more years of experience in Software Programming in any language 2 or more years of experience in Technical Consulting on Power Platform 4 years engineering degree in IT/Computer or equivalent 1 or more years of experience of Providing Support using ServiceNow Work timing: 2pm to 11:30pm Work mode - 2 days/month in Pune Magarpatta City office

Position Title: Senior Principal Software Engineer The Area: Morningstar Data for equities provides comprehensive coverage of global stock markets from as early as 1975. We are continuously broadening our coverage and creating new products to help clients prepare for regulatory changes and other industry shifts. Our data features proprietary statistics and is developed using stringent quality screens to ensure accuracy. From APIs to data feeds, our solutions are delivered quickly to help institutions meet a broad range of functions. The Role: In this role, you will collaborate with technology manager, scrum Master, functional experts, and developers to build technology solutions for Morningstar`s Equity applications. The team is looking for forward-thinking problem solvers who thrive in a fastpaced environment. The Lead is responsible in mentoring the team members, provide guidance and opportunities for the team members to expand their capabilities and skills. They will have to coordinate and work with the members in a global team. We are looking for an individual that can apply discipline, create solid software products. Responsibilities: • Design & develop web and enterprise solutions to be flexible, scalable & extensible.\ • Improve complex data flow, data structures and db design to move to next platform. • Enforce good agile practices like test driven development, Continuous Integration. • Hands-on development will be an integral part of the responsibilities. • Develop areas of continuous and automated deployment. • Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster. • Follow best practices like estimation, planning, reporting and improvement brought to processes in every day work. • Analyses and reviews system requirements. Uses requirement and other design documents to gain overall understanding of the functionality of the new or enhanced application. • Participate actively in the design, architecture and build phases, to aim at producing high quality deliverables. • Provide recommendations on product and development environment improvements. Requirements: These are the most important skills, qualities, etc. that we’d like for this role. • Minimum 12 Years of experience • Bachelor of Science in Computer Science, Engineering, or equivalent. • At least 2+ years as a software Lead/Architect • Demonstrated familiarity with AI-powered assistants (e.g., GitHub Copilot, ChatGPT) for code generation, debugging, and/or other technical tasks. • Hands-on in Java 8, Adv Java, Spring Framework • Strong knowledge and hands-on on micro-services based architecture. • Very Strong knowledge of databases and hands on MS SQL/MySQL/PostgreSQL or NoSQL DB DynamoDB/MongoDB. • Experience with building REST based APIs. • Experience in analysis, design, coding and implementation of large-scale, n-tier Java based platforms. • Knowledge of any JavaScript framework like Vue, Angular JS (version >2)/ NodeJS etc. • Be aware of activity in the open source world. Contributing back to open source is a big plus. • Distributed computing, with experience in cloud computing (Amazon Web Services platform and associated technologies) • Experience on agile practices • Experience with modern development practices in areas of Product design, Requirement Analysis, Test Driven Development, Automation & Unit Testing, in a product development environment. • Excellent listening, written and verbal communication skills. Good to Have: • Machine Learning knowledge. • Exposure to Capital Market domain preferred (Indexes, Equity etc.) Morningstar is an equal opportunity employer.

Key Responsibilities: Design, develop, and deploy low-code/no-code applications using Power Apps (Canvas and Model-Driven). Automate business processes using Power Automate Cloud Flows and Desktop Flows (RPA) . Build Approval Flows to support streamlined business decision processes. Design and manage data structures in Dataverse , and integrate Power Pages for user-facing portals. Leverage Copilot Studio and AI Hub for AI-driven automation and conversational experiences. Integrate Microsoft Power Platform with external systems via custom APIs and connectors. Collaborate with cross-functional teams to gather requirements and deliver scalable Power Platform solutions. Develop and manage SharePoint Online -based applications and integration scenarios. Utilize programming knowledge (e.g., C#, JavaScript, or equivalent) for advanced customizations. Offer ongoing technical consulting and solution architecture guidance for Power Platform projects. Provide user support and issue resolution through ServiceNow or similar platforms. Required Skills and Qualifications: 3+ years of experience in Power Apps development. 3+ years of experience with Power Automate Cloud Flows and Desktop Flows . 1+ year of experience developing Approval Flows . 2+ years of experience with Dataverse, Power Pages, and AI Hub . 1+ year of SharePoint Online development experience. 1+ year of API Development and integration experience. 2+ years of experience in software programming (any language). 2+ years in technical consulting for Power Platform implementations. 1+ year of experience in providing technical support via ServiceNow . Bachelor's degree in Computer Science, Information Technology, or equivalent.

Job Title / Primary Skill: .NET Full stack Development Management Level: G140 Years of Experience: 5 to 8 years Job Location: Bangalore (Hybrid) Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelor's degree) Primary Skills: C#. Net, SQL Server, React.js Job Description: We are a dynamic and innovative team working on cutting-edge applications for the healthcare industry. Your work will directly impact patients and the development of therapies that matter them. Our tech stack includes React.js, Next.js, SQL Server, and .NET 8. We are looking for a passionate Full Stack Developer who is eager to contribute to both the front-end and back-end of our projects, and who has an interest in integrating AI capabilities into modern applications. Key Responsibilities: • Develop, test, and deploy high-quality web applications using React.js, Next.js, .NET 8, and SQL Server. • Collaborate with cross-functional teams to design and implement scalable solutions. • Integrate and optimize AI functionalities and related tools to enhance application performance. • Utilize and maintain various development tools, including emerging AI-assisted (e.g., Cursor, Replit, GitHub Co-pilot and other industry-standard tools) to streamline development processes. • Troubleshoot, debug, and upgrade existing software applications. • Ensure application security, performance, and scalability through best practices in coding and architecture. • Participate in code reviews and contribute to team knowledge sharing. Required Skills and Qualifications: • 1-8 years of hands-on experience in full stack development. • Proficient in React.js and Next.js for front-end development. • Solid experience with SQL Server and database design. • Expertise in .NET 8 for back-end development. • Familiarity with AI concepts and the ability to integrate AI tools and solutions into applications. • Experience working with development tools such as Cursor, Replit, GitHub Co-pilot and similar platforms. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork abilities. • Curiosity, passion for learning and improving, and drive to grow in the role and the organization Preferred Qualifications: • Experience with cloud platforms and containerization technologies. • Knowledge of modern DevOps practices and CI/CD pipelines. • Familiarity with agile methodologies and collaborative project management tools.

Microsoft Copilot Studio;

Greetings of the Day !!! We have job opening for Power Platform (E2) - Copilot with one of our clients . If you are intertested for this position , please share update resume . Job Title: Power Platform Developer Notice Period: Immediate/15 Days Experience: 3-5 years Designing, implementing, and optimizing solutions using Microsoft Power Virtual Agents using Copilot Studio Deep understanding & Proven experience in Power Virtual Agents , M365 Copilot , and Copilot Studio Integrate virtual agents with various web applications, SharePoint, and other channels Ensure the security and compliance of virtual agent solutions Monitor and optimize the performance of virtual agents Provide technical support and troubleshooting for deployed solutions Experience in Azure AI Services