Senior Software Engineer - .NET Full Stack Developer/ AI
Wells Fargo17 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Lead moderately complex software engineering initiatives and deliverables.
- Design, develop, test, debug, document, upgrade, and deploy software applications.
- Build scalable full-stack and distributed applications using .NET and Microsoft technologies.
- Analyze and resolve moderately complex technical challenges across systems, technologies, and processes.
- Develop AI-enabled features including summarization, classification, extraction, Q&A, and conversational assistants.
- Integrate AI capabilities through APIs and SDKs and apply prompt design, output validation, guardrails, and responsible AI practices.
- Consider AI production concerns including latency, cost, monitoring, fallback strategies, and human-in-the-loop workflows.
- Contribute to technical planning and solution strategies aligned with business requirements, compliance, and engineering best practices.
- Collaborate with peers, product teams, mid-level management, and global engineering teams.
- Lead projects, act as an escalation point, and mentor junior engineers.
Requirements
- At least 4 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Proven experience developing scalable full-stack distributed applications.
- Strong hands-on development experience across modern technology stacks.
- Strong experience with C#, .NET Core, REST/Web APIs, and Microsoft technologies.
- Experience with relational and non-relational databases, asynchronous systems, event-driven systems, and messaging systems.
- Exposure to Azure, AWS, or GCP and containerization technologies.
- Preferred understanding or experience with Kubernetes, Windows/Linux operating systems, and virtualization.
- Experience using AI-assisted coding tools such as GitHub Copilot or ChatGPT.
- Working knowledge of AI/ML fundamentals, including model lifecycles, limitations, and evaluation.
- Experience integrating AI capabilities using Azure OpenAI, OpenAI, or cloud AI service APIs/SDKs.
- Practical understanding of LLM usage patterns, common AI application architectures such as RAG, vector search, and embeddings.
- Awareness of responsible AI practices, including privacy, security, bias, safe data handling, and compliance.
- Ability to collaborate across cross-functional engineering teams and deliver features aligned with product requirements and user stories.
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.