DATAECONOMY

<html><body><span id="spandesc">  <div>    <b>      <span class="font">        <span class="size">About the Role: <\/span><span class="size"><br/><\/span><\/span><\/b><\/div><div><span class="font"><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services. <\/span><span class="size"><br/><\/span><\/span><\/div><div><b><br/><\/b><\/div><div><span class="font"><span class="size"><b>Key Responsibilities:<\/b><\/span><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">•Design, develop, and deploy Generative AI and Agent-based solutions in production.<\/span><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">•Fine-tune, evaluate, and integrate LLMs and multi model models for business applications.<\/span><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">•Build and manage AI workflows leveraging AWS or Azure cloud services.<\/span><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">•Collaborate with data, ML, and product teams to operationalize AI capabilities.<\/span><span class="size"><br/><\/span><\/span><\/div><div><span class="font"><span class="size">•Optimize performance, reliability, and scalability of deployed AI systems.<\/span><span class="size"><br/><\/span><\/span><\/div><div><br/><\/div><\/span><br/><span id="spanreq"><h3>Requirements<\/h3><div><b><span class="size"><span class="font">Required Skills x26amp; Exp<\/span><span class="font">erience:<\/span><\/span><\/b><span class="font"><br/><\/span><\/div><div><span class="font">•Atleast 2–3 years of experience in AI/ML development, with a focus on Generative AI.<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Proven track record of implementing production-grade Gen AI or Agent solutions.<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Strong proficiency in Python and familiarity with orchestration frameworks like LangChain, LlamaIndex, or similar.<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Experience with vector databases, and embedding models.<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Cloud experience with AWS (SageMaker, Bedrock) or Azure (OpenAI, AI Studio, Cognitive Services).<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Understanding of prompt engineering, RAG pipelines, and evals.<\/span><span class="font"><br/><\/span><\/div><div><span class="font"><br/><\/span><\/div><div><b><span class="font">Preferred / Good to Have:<\/span><\/b><span class="font"><br/><\/span><\/div><div><span class="font">•Exposure to Azure AI Foundry or AWS AgentCore.<\/span><span class="font"><br/><\/span><\/div><div><span class="font">•Familiarity with MLOps and CI/CD pipelines for AI.<\/span><br/><\/div><\/span><br/><span id="spanben"><h3>Benefits<\/h3><div><span class="font"><span class="size">Standard Company Benefits<\/span><\/span><\/div><\/span><br/></span></span></div></h3></span></span></div></span></span></div></span></span></b></div></span></div></span></span></div></span></span></div></span></span></div></span></span></div></span></span></div></span></span></div></span></span></span></span></b></div></h3></span></div></span></span></span></div></span></span></span></div></span></span></span></div></span></span></span></div></span></span></span></div></span></b></span></span></div></b></div></span></span></span></div></span></span></div></span></span>      </span>    </b>  </div></span></body></html>

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