<p><strong>AI Development &amp; Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation &amp; Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure &amp; Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>

<ul><li>Bachelor&#39;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.</li><li>3+ years of software engineering experience, including hands-on AI/ML or generative AI development.</li><li>Strong proficiency in Python and API development.</li><li>Experience building applications using LLMs and generative AI technologies.</li><li>Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools.</li><li>Experience developing AI agents, RAG applications, or workflow automation solutions.</li><li>Familiarity with REST APIs, SQL databases, and cloud environments.</li><li>Experience deploying applications in AWS, Azure, or Google Cloud.</li><li>Strong understanding of software development lifecycle (SDLC), Git, and CI/CD practices.</li></ul><p><br></p>

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