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Software Engineer - Gen AI @ Wells Fargo

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 Software Engineer - Gen AI

Job Description

About this role:

Wells Fargo is seeking a Software Engineer - Gen AI. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow

In this role, you will:

  • Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
  • Identify opportunities for service quality and availability improvements within the technology domain environment
  • Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
  • Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
  • Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
  • Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
  • Provide information to technology colleagues, internal partners, and stakeholders

Required Qualifications:

  • 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • 2+ years of software engineering experience in a BFSI GCC or Product Engineering organization.
  • Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph)
  • Basic Knowledge of model context protocols, RAG architectures, and embedding techniques
  • Experience with model evaluation frameworks and metrics for LLM performance
  • Proficiency in frontend development with React.js for AI applications
  • Experience with UI/UX design patterns specific to AI interfaces
  • Experience with vector databases and efficient retrieval methods
  • Knowledge of prompt engineering techniques and best practices
  • Experience with containerization and microservices architecture
  • Strong understanding of semantic search and document retrieval systems
  • Working knowledge of both structured and unstructured data processing
  • Experience with version control using GitHub and CI/CD pipelines
  • Experience working with globally distributed teams in Agile scrums
  • Experience with Google ADK & A2A (preferred but not mandatory) AutoGen, and OpenAI APIs
  • Experience with GCP Vertex AI & Azure AI Foundry preferred.
  • Experience with LLM inferencing (eg.vLLM) preferred
  • Strong verbal and written communication skills

Job Expectations:

  • Understanding of enterprise use cases for Generative AI
  • Knowledge of responsible AI practices and ethical considerations
  • Ability to optimize AI solutions for performance and cost
  • Well versed in MLOps concepts for LLM applications
  • Staying current with rapidly evolving Gen AI technologies and best practices
  • Experience implementing security best practices for AI applications

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Wells Fargo
Location(s): Bengaluru

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Keyskills:   Gen AI python github react llm ui ux microservices java model evaluation gcp use cases software engineer agile azure

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Wells Fargo

'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'