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About the role
You will be responsible for the following key tasks in this role: - Build AI-powered applications leveraging Large Language Models (LLMs), Generative AI, and related technologies. - Design, develop, and optimize AI Agents and multi-agent workflows for complex business use cases. - Develop and implement Retrieval-Augmented Generation (RAG) systems to enhance AI accuracy and contextual understanding. - Work with MCP and AI orchestration frameworks to manage workflows, tools, and agent interactions. - Integrate AI solutions with APIs, databases, cloud services, and enterprise platforms. - Develop backend APIs and support frontend integrations for AI-driven products and applications. - Deploy, monitor, and maintain AI/ML models in production environments to ensure performance and reliability. - Conduct research and experimentation with emerging AI frameworks, tools, and technologies. - Optimize AI systems for scalability, security, efficiency, and cost-effectiveness. - Collaborate closely with product, engineering, and business teams to design and deliver innovative AI solutions. - Troubleshoot, test, and continuously improve AI applications based on user feedback and performance metrics. Qualifications required for this role include: - Strong understanding of Generative AI, Agentic AI, and modern AI application development concepts. - Knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI-powered workflows. - Basic understanding of AI Agents, MCP, orchestration frameworks, and multi-agent systems. - Strong proficiency in Python for AI, backend development, and automation tasks. - Basic understanding of Full Stack Development, including frontend and backend integration concepts. - Familiarity with APIs, databases, backend architectures, and deployment workflows. - Understanding of cloud platforms, model deployment, and production environments is an advantage. - Strong analytical, problem-solving, and debugging skills. - Ability to learn new technologies quickly and adapt to evolving AI ecosystems. - Strong curiosity, experimentation mindset, and passion for emerging AI technologies. - Good communication and collaboration skills for working with cross-functional teams. At Earnest Data Analytics, the company is committed to empowering businesses across industries with comprehensive data-driven solutions. The expertise of the company lies in data analytics, data science, and business intelligence, enabling the extraction of actionable insights for informed decision-making. The company is deeply involved in India's tech ecosystem, particularly with initiatives like ONDC and UPI. The services offered by the company encompass data analysis, visualization, predictive modeling, machine learning, and AI solutions, empowering organizations to harness the power of data in today's economy. You will be responsible for the following key tasks in this role: - Build AI-powered applications leveraging Large Language Models (LLMs), Generative AI, and related technologies. - Design, develop, and optimize AI Agents and multi-agent workflows for complex business use cases. - Develop and implement Retrieval-Augmented Generation (RAG) systems to enhance AI accuracy and contextual understanding. - Work with MCP and AI orchestration frameworks to manage workflows, tools, and agent interactions. - Integrate AI solutions with APIs, databases, cloud services, and enterprise platforms. - Develop backend APIs and support frontend integrations for AI-driven products and applications. - Deploy, monitor, and maintain AI/ML models in production environments to ensure performance and reliability. - Conduct research and experimentation with emerging AI frameworks, tools, and technologies. - Optimize AI systems for scalability, security, efficiency, and cost-effectiveness. - Collaborate closely with product, engineering, and business teams to design and deliver innovative AI solutions. - Troubleshoot, test, and continuously improve AI applications based on user feedback and performance metrics. Qualifications required for this role include: - Strong understanding of Generative AI, Agentic AI, and modern AI application development concepts. - Knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI-powered workflows. - Basic understanding of AI Agents, MCP, orchestration frameworks, and multi-agent systems. - Strong proficiency in Python for AI, backend development, and automation tasks. - Basic understanding of Full Stack Development, including frontend and backend integration concepts. - Familiarity with APIs, databases, backend architectures, and deployment workflows. - Understanding of cloud platforms, model deployment, and production environments is an advantage. - Strong analytical, problem-solving, and debugging skills. - Ability to learn new technologies quickly and adapt to evolving AI ecosystems. - Strong curiosity, experimentation
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