Senior Software Engineer - Gen AI
Wells Fargo10 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Lead moderately complex technical initiatives and deliverables, serving as an escalation point and providing guidance to less experienced staff.
- Design, build, test, document, deploy, and maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks.
- Develop frontend applications with reusable enterprise UI components and Python backend services, APIs, MCP services, and integration layers.
- Design and integrate MCP servers and clients for secure context sharing among models, tools, applications, and agent runtimes.
- Develop agentic workflows and modular, skill-based agents using frameworks such as LangChain Deep Agents and Google ADK.
- Build reusable components, services, tool schemas, SDKs, and integration patterns for enterprise AI applications.
- Integrate logging, tracing, monitoring, evaluation, resiliency, reliability, and agent observability capabilities.
- Prepare applications and services for deployment on OpenShift or Kubernetes and collaborate with AI, platform, product, and architecture teams.
Requirements
- Proven experience designing and scaling enterprise GenAI platforms and AI-driven products.
- Strong expertise in agentic AI, multi-agent systems, RAG architectures, knowledge graphs, and long-term memory frameworks.
- Experience architecting model orchestration, including routing, selection, fallback, and optimization strategies.
- Experience with LangGraph, LangChain, AutoGen, MCP, or equivalent orchestration technologies.
- Deep understanding of LLMOps, AI platform engineering, CI/CD automation, and production AI deployments.
- Experience with Azure OpenAI, AWS Bedrock, and Google Vertex AI.
- Strong Python proficiency and experience building services with Fast MCP, FastAPI, and Flask.
- Experience developing REST APIs, asynchronous services, event-driven architectures, reusable APIs, SDKs, and developer frameworks.
- Expertise in vector databases, graph databases, embeddings, semantic search, and retrieval technologies.
- Strong cloud-native engineering experience with Kubernetes, containers, microservices, and distributed systems.
- Experience establishing AI observability, monitoring, evaluation, resiliency, reliability, security, responsible AI, governance, privacy, and regulatory practices.
- Understanding of token economics, AI cost optimization, usage forecasting, and platform efficiency strategies.
- Experience with Oracle or Microsoft SQL Server, automated testing with Playwright, performance testing, code reviews, and CI/CD practices.
- Experience building secure, scalable, maintainable applications aligned with enterprise platform standards.
Tech Stack
Categories
About Wells Fargo
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.