Senior Software Engineer - Gen AI
Wells Fargo · Bengaluru · onsite · Posted 41d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Job Summary
About this role: Wells Fargo is seeking a Senior Software Engineer
In this role, you will:
- Lead moderately complex initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
- 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 solutions, including model routing, selection, fallback, and optimization strategies.
- Proficiency with GenAI frameworks including LangGraph, LangChain, AutoGen, MCP, or equivalent orchestration technologies.
- Deep understanding of LLMOps, AI platform engineering, CI/CD automation, and production-grade AI deployments.
- Hands-on experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI.
- Strong proficiency in Python with experience building services using frameworks such as MCP, FastAPI, Flask.
- Experience developing and integrating with REST APIs, asynchronous services, and event-driven architectures.
- Expertise in vector databases, graph databases, embeddings, semantic search, and retrieval technologies.
- Strong cloud-native engineering background with Kubernetes, microservices, containers, and distributed systems.
- Experience establishing AI observability, monitoring, evaluation, resiliency, and reliability practices.
- Knowledge of AI security, responsible AI, governance, privacy, and regulatory requirements.
- Understanding of token economics, AI cost optimization, usage forecasting, and platform efficiency strategies.
- Experience designing reusable APIs, SDKs, and developer frameworks that accelerate enterprise adoption.
- Experience in working on relational database like Oracle, MS SQL Server, etc.
- Experience with automated testing with Playwright, performance testing, code reviews, and CI/CD practices.
- Experience building secure, scalable, maintainable applications aligned with enterprise platform standards.
- Design, build, and maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks.
- Develop frontend applications aligned with enterprise UI standards and reusable component patterns.
- Build and maintain Python backend services, APIs, MCP services, and integration layers using frameworks such as MCP, FastAPI, Flask.
- Design, implement, and integrate with MCP servers and MCP clients that enable secure context sharing between models, tools, applications, and agent runtimes.
- Develop and support agentic workflows that execute complex, multi-step tasks using frameworks such as LangChain Deep Agents, Google ADK, or similar agent frameworks.
- Build skill-based and modular agents that decompose capabilities into reusable, composable, and versioned skills.
- Build reusable components, services, tool schemas, and integration patterns that can be shared across enterprise AI applications.
- Integrate logging, tracing, and observability frameworks, including Arize Splunk-compatible logging and agent observability tooling.
- Ensure applications and services are ready for deployment on enterprise container platforms such as OpenShift or Kubernetes.
- Collaborate with AI developers, platform engineers, product teams, and architecture partners to deliver robust and scalable AI solutions.
Sourced from naukri
Skills
AutomationBedrockapiscloud aiautomated testingaws bedrockamazon web servicesAzure OpenAIai securityAsynchronousContainerdeploymentDebugcloudArchitecturecomplianceAi PlatformCustomer RelationshipsAi SolutionsMicrosoft AzureArtificial Intelligence
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
Employees rate it well for
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