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Strong Wells Fargo brand, generalist Software Engineer title, and popular GenAI skillset drive high competition.
GenAI engineering skills are broadly transferable, though financial services compliance increases domain sensitivity.
Minimum 2+ years and specific LLM, cloud, and distributed-systems skills create moderately strict filters.
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Contribute to low to moderately complex software engineering projects involving installation, upgrades, deployments, and coding primarily in technology domains related to AI and cloud.
Identify opportunities to improve service quality and availability within the technology environment and make recommendations or escalate issues as needed.
Ensure compliance with security and risk policies while collaborating with internal technology teams and stakeholders.
Minimum of 2 years software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Experience with Python and familiarity with AI/LLM frameworks such as LangChain or Semantic Kernel preferred.
Knowledge of cloud platforms (Azure or GCP) and microservices architecture is desired.
Work Experience Required: 2+ years
Experienced in Python programming with hands-on skills in LLM frameworks and prompt engineering for Generative AI applications.
Familiar with cloud environments (Azure/GCP) and building scalable, distributed systems.
Comfortable working independently on low to moderate complexity projects and navigating security and compliance requirements in a financial services setting.