Senior Specialty Software Engineer - Gen AI
Wells Fargo3 days ago
Hyderābād, IndiaSenior
Responsibilities
- Architect and build the Valence (CIBX) agentic platform for configuring, deploying, and managing AI agents.
- Design 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 aggregation across specialized agents.
- Develop reusable templates and configuration-driven workflows for business automation, analytics, insights, and predictive use cases.
- Implement MCP or similar tool-calling protocols to connect agents with enterprise systems and APIs.
- Ensure scalability, reliability, logging, monitoring, tracing, and observability for production agentic workloads.
- Collaborate with product, architecture, and business stakeholders to translate business pain points into agent-driven solutions.
- Mentor junior engineers and promote best practices in agentic system design, prompt engineering, and AI safety or guardrails.
- Contribute to CI/CD pipelines, containerization, and platform deployment strategy.
- Design, code, test, debug, document, support, and improve software while meeting compliance and risk-management requirements.
Requirements
- At least 4 years of specialty software engineering experience or equivalent experience, training, military experience, or education.
- 10–15 years of overall software engineering experience and strong hands-on Python expertise.
- 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 involving multi-agent orchestration, planning, tool calling, and memory management.
- Experience with agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, DeepAgents, or similar.
- Experience designing low-code or configuration-driven frameworks and platforms for non-technical users.
- Understanding of LLM integration patterns, prompt engineering, function or tool calling, and streaming responses through SSE or WebSockets.
- Strong API design skills using FastAPI or Flask and experience with asynchronous programming using asyncio.
- Experience with structured logging, observability, resilience patterns, circuit breakers, retries, and distributed systems.
- Strong problem-solving skills and ability to work in a fast-paced, evolving AI product environment.
- Preferred experience with OpenShift, Kubernetes, MongoDB or other NoSQL databases, enterprise authentication and authorization patterns, CI/CD tooling, SonarQube, financial services or capital markets, and MCP.
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.