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Niche GenAI and cloud skills required but mid-level, producing moderate applicant competition.
AI platform skills transfer across industries but require specific GenAI and cloud expertise.
Multiple mandatory GenAI, AWS, Python, CI/CD and tooling requirements will enforce strict shortlisting.
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Design, develop, and deploy scalable AI solutions using AWS cloud services and Python.
Build automation pipelines and integrate cloud-native AI/GenAI services including RAG pipelines, AI Agents, AWS Bedrock, and AgentCore.
Leverage AI orchestration frameworks such as LangChain and LlamaIndex for implementing AI services.
Strong hands-on experience with AWS cloud services and Python development.
Experience with AI/GenAI technologies including RAG pipelines, AI Agents, AWS Bedrock/AgentCore.
Proficiency in building and deploying AI solutions with familiarity in CI/CD pipelines and NoSQL databases (preferably MongoDB Atlas).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in cloud-native AI/GenAI platform engineering with emphasis on scalable, automated AI service deployment.
Familiarity with AI orchestration and development frameworks (LangChain, LlamaIndex) and modern AI deployment practices.
Comfortable operating in engineering service environments requiring integration of diverse cloud-native microservices and automation pipelines.