Wells Fargo

Lead Software Engineer - Python/Gen AI/RAG

Wells Fargo
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17 hours ago
Hyderābād, IndiaStaff+

Responsibilities

  • Lead complex, large-scale technology initiatives and establish engineering standards and best practices.
  • Design, code, test, debug, document, and review complex software solutions.
  • Architect and build the Valence (CIBX) agentic platform for business-user configuration, deployment, and management of AI agents.
  • Develop deep agents supporting multi-step planning, tool use, memory, and autonomous task execution.
  • Build and optimize RAG pipelines grounded in enterprise knowledge bases and documents.
  • Integrate generative AI and LLM capabilities into scalable backend services.
  • Design orchestration layers for routing, planning, task execution, and result aggregation across specialized agents.
  • Implement MCP or similar tool-calling protocols to connect agents with enterprise systems and APIs.
  • Ensure scalability, reliability, observability, logging, monitoring, and tracing for production workloads.
  • Collaborate with product, architecture, and business stakeholders to deliver agent-driven automation solutions.
  • Mentor junior engineers and drive best practices in agentic system design, prompt engineering, and AI safety guardrails.
  • Contribute to CI/CD pipelines, containerization, and platform deployment strategy.

Requirements

  • 5+ years of software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
  • Strong hands-on Python expertise and 5–10+ years of overall software engineering experience preferred.
  • Production experience building AI or generative AI applications.
  • Hands-on experience with RAG architectures, embeddings, vector databases, chunking strategies, and retrieval optimization.
  • Experience building agentic AI systems with multi-agent orchestration, planning, tool calling, and memory management.
  • Experience designing low-code or configuration-driven frameworks for non-technical users.
  • Understanding of LLM integration patterns, prompt engineering, function/tool calling, and streaming responses.
  • Strong API design skills using FastAPI or Flask and experience with asynchronous programming.
  • Experience with structured logging, observability, resilience patterns, and distributed systems.
  • Familiarity with OpenShift or Kubernetes, MongoDB or other NoSQL databases, enterprise authentication and authorization, CI/CD tooling, and code quality tools is preferred.
  • Prior financial services or capital markets experience and familiarity with MCP are preferred.
  • Strong problem-solving, collaboration, mentoring, and communication skills.

Tech Stack

FastAPIFlaskGitHub ActionsJenkinsKubernetesMongoDBOpenShiftPythonSonarQube
Wells Fargo

About Wells Fargo

10,000+ employees

Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.

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