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Hiring: Senior AI Engineer Agentic Commerce Locations: Bengaluru | Pune | Hyderabad | Chennai Employment Type: Full-Time | Permanent Experience Required: 48+ Years (Including 3+ Years in Agentic AI) About the Opportunity We are looking for an experienced Senior AI Engineer Agentic Commerce to help build cutting-edge AI-driven commerce platforms powered by Large Language Models (LLMs) and autonomous AI agents. The ideal candidate will combine strong software engineering expertise with hands-on experience in designing and deploying enterprise-grade AI solutions. Key Responsibilities Design, develop, and deploy intelligent AI agents for commerce and enterprise applications.Build scalable Agentic AI solutions using LLMs and advanced AI orchestration frameworks.Create multi-agent systems capable of autonomous reasoning, planning, and decision-making.Develop robust backend services, APIs, and integrations that support AI-powered products.Implement LLM-based solutions across customer experiences, business workflows, and commerce ecosystems.Improve system performance, scalability, reliability, and operational efficiency.Work closely with product managers, business teams, and engineers to deliver impactful AI solutions.Establish best practices for AI deployment, monitoring, evaluation, governance, and lifecycle management.Required Skills & Qualifications Strong background in software engineering, system architecture, and scalable application development.Proven experience building and deploying LLM-powered applications in production environments.Hands-on expertise in developing AI agents and Agentic AI workflows.Advanced proficiency in Python.Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.Practical knowledge of modern AI frameworks, including:LangChainLangGraphAutoGenCrewAIExperience working with foundation models such as:OpenAIAnthropicGoogle AI ModelsOpen-source LLM ecosystemsStrong understanding of APIs, cloud-native architectures, microservices, and distributed systems.Experience with AI monitoring, evaluation frameworks, and observability tools.Preferred Qualifications Experience in Commerce, Retail, Customer Experience, or Digital Transformation projects.Exposure to MCP (Model Context Protocol) and Context Engineering concepts.Familiarity with Kubernetes, Docker, CI/CD pipelines, and modern DevOps practices.Understanding of AI security, governance, compliance, and Responsible AI principles.Experience Requirements 48+ years of overall software engineering experience.Minimum 3 years of hands-on experience working with Agentic AI and LLM-based systems.Demonstrated success in taking AI solutions from concept and prototype stages to large-scale production deployment.Apply Now Email your CV to: hr@nextbigtechnology.com Contact: 7357457770 Work Location: In-Person Work Location: In person Hiring: Senior AI Engineer Agentic Commerce Locations: Bengaluru | Pune | Hyderabad | Chennai Employment Type: Full-Time | Permanent Experience Required: 48+ Years (Including 3+ Years in Agentic AI) About the Opportunity We are looking for an experienced Senior AI Engineer Agentic Commerce to help build cutting-edge AI-driven commerce platforms powered by Large Language Models (LLMs) and autonomous AI agents. The ideal candidate will combine strong software engineering expertise with hands-on experience in designing and deploying enterprise-grade AI solutions. Key Responsibilities Design, develop, and deploy intelligent AI agents for commerce and enterprise applications.Build scalable Agentic AI solutions using LLMs and advanced AI orchestration frameworks.Create multi-agent systems capable of autonomous reasoning, planning, and decision-making.Develop robust backend services, APIs, and integrations that support AI-powered products.Implement LLM-based solutions across customer experiences, business workflows, and commerce ecosystems.Improve system performance, scalability, reliability, and operational efficiency.Work closely with product managers, business teams, and engineers to deliver impactful AI solutions.Establish best practices for AI deployment, monitoring, evaluation, governance, and lifecycle management.Required Skills & Qualifications Strong background in software engineering, system architecture, and scalable application development.Proven experience building and deploying LLM-powered applications in production environments.Hands-on expertise in developing AI agents and Agentic AI workflows.Advanced proficiency in Python.Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.Practical knowledge of modern AI frameworks, including:LangChainLangGraphAutoGenCrewAIExperience working with foundation models such as:OpenAIAnthropicGoogle AI ModelsOpen-source LLM ecosystemsStrong understanding of APIs, cloud-native architectures, microservices, and distributed systems.Experience with AI monitoring, evaluation framewo
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