Senior Software Engineer - AI
Wells Fargo
- Location
- Serilingampalli, Telangana, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- compliance
- forecasting
- predictive analytics
- regression
- TensorFlow
- Pytorch
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
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
Required Qualifications
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- Expertise in Python langauge
- Expertise in predictive analytics, Large Language Models (LLMs), generative AI, or agentic AI.
- Proficiency in predictive modeling techniques such as regression, time series forecasting, and classification.
- Strong expertise in training and fine-tuning LLMs and generative models.
- Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, and Scikit-learn.
- Experience with graph-based AI leveraging knowledge graphs and graph neural networks (GNNs) is a plus.
- Familiarity with MCP (Model Context Protocol), Retrieval-Augmented Generation (RAG), and frameworks like LangChain and LangGraph.
Reference Number
R-511149
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