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Technology and Data - Software Engineer 4 - Contingent
Mindlance
- 🇺🇸 United States
- On-site
- Staff / Principal
- 1 week ago
- Machine Learning
- AI
- Large Language Models
- GCP
- Azure
- Kubernetes
- OpenShift
- Python
- REST API
- Docker
- Git
- Power Platform
- Scrum
- Alteryx
- Network Security
- Power Apps
- Dataverse
- UiPath
- OpenAI
- Google Gemini
- Elasticsearch
- OpenSearch
- Pinecone
- Weaviate
1 week ago
Required Qualifications:
• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
• 2+ years of experience working with Generative AI, large language models, or foundation models
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift
• 2+ years of experience with Python
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
REQUIRED CERTIFICATIONS
- UI path Certified
- MS Power Platform Certified
LOCATIONS: Charlotte, NC or Irving, TX- 5 days on-site
PROJECT SUMMARY
As Lead Senior Software Engineer, you will Client, design, develop, test, and deploy sophisticated Agentic Automation applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands on development experience and a strong interest in solving complex technical problems using modern AI capabilities.
This team horizontally supports all of consumer lending by building robots and agents on top of the existing tech. They're part of an initiative to look into how to scale AI.
Doing agentic automation as part of a scrum team. High value, high growth team, shouldn't need a lot of hand holding, will feel like a startup environment. Alteryx is low complexity and not a showstopper if people don't have it, but will help fill gaps where UI Path doesn't coordinate with Power Platform on data platforming. This person should be capable of understanding the difference of when to use automation and when to use AI, be tactful in the solution to problems that they take.
Python could be leveraged for testing
INTERVIEW - VIDEO INTERVIEW (2 ROUNDS)
1. ROUND WITH RTM - 45 MIN
2. PANEL WITH PRODUCT AND ENGINEERING
JOB DESCRIPTION
About this role:
Wells Fargo is seeking a Lead Software Engineer in Technology as part of Consumer Intelligent Automation & AI. The CIA team is building a new Agentic Engineering group, and we are looking for talented Senior Software Engineers to serve as key contributors to innovative, enterprise grade AI products. This is an opportunity to work on advanced technologies that will impact millions of customers and shape the future of financial services.
As a Senior Software Engineer, you will Client, design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands on development experience and a strong interest in solving complex technical problems using modern AI capabilities.
In this role, you will:
• Lead moderately complex initiatives and deliverables within technical engineering environments
• Contribute to large scale planning of strategies across Consumer Technology
• Design, code, test, debug, and document applications and services including upgrades and deployments
• Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
• Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
• Lead projects and act as an escalation point, providing direction to less experienced engineers
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
• Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
• Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
• Assist and mentor engineers in advanced software development and AI engineering practices
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems
Desired Qualifications:
• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments
• Experience working in highly regulated industries such as financial services
• Experience as a technical lead or architect, including mentoring senior engineers
• Experience integrating or contributing to open source AI or ML projects
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams
Preferred Skills and Experience:
• Experience with Power Platform, including Power Apps and Dataverse
• Experience with UiPath or other enterprise automation tools
• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models
• Experience with agentic frameworks and AI workflow orchestration
• Experience designing applications that incorporate retrieval augmented generation, fine tuning, and structured prompting
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate
• Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments
• Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management
Job Expectations:
• This position is 5 days onsite
• Relocation assistance is not available for this position
• This position is not eligible for visa sponsorship
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Technology and Data - Software Engineer 4 - Contingent · Mindlance