GenAI Full Stack
Dallas, TX - USA
Job Summary
Hi All
Quick update on Full Stack Engineers(FDE) role we are open for three locations Charlotte Dallas & Phoenix.
Hard requirements from the customer:
- Hands-on experience with GenAI tools (Devin Claude Code Cursor) - beyond just development
- Ability to train and guide LOB teams on best practices
- Capability to engage with CIOs across LOBs and drive adoption of best practices
- Strong industry experience so that the customer team benefits from the candidates expertise(i.e. FDE should be able to train client team teams).
- Candidates should be able to contribute from Day 1 (avoid learning curve delays).
Job Description / Experience Requirements (Updated)
Role: Forward Deployment Engineer (FDE) GenAI / Full Stack
Overview
We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin and modern GenAI tools to support enterprise-scale rollout and adoption across Wells Fargo. This is a hands-on full-stack engineering role focused on enabling LOB teams to improve the product delivery lifecycle through effective utilization of GenAI tools.
Key Responsibilities
- Design develop and deploy GenAI-powered solutions using Devin Claude Code and Cursor
- Integrate GenAI tools into enterprise SDLC workflows (CI/CD internal platforms)
- Partner closely with Wells Fargo LOB teams to accelerate delivery and improve the end-to-end product lifecycle using GenAI capabilities
- Lead tool onboarding training and enablement driving adoption and best practices across teams
- Monitor and optimize tool usage efficiency and performance outcomes
- Establish and drive best practices for GenAI usage including prompt engineering and workflow integration
- Provide hands-on troubleshooting performance tuning and scaling support
Required Technical Skills
- Strong full-stack engineering experience (Java React/Angular/TypeScript Python)
- Experience with distributed systems APIs Event Driven and microservices architecture
- Hands-on experience with CI/CD pipelines and developer tooling
- Strong understanding of cloud platforms (Ex. OCP GCP)
GenAI / LLM Expertise (Must-Have)
- Hands-on experience with:
- Devin
- Claude / Anthropic models
- Developer tools like Cursor / Copilot-equivalent tools
- Strong understanding of:
- Prompt engineering
- RAG (Retrieval Augmented Generation)
- Agent-based workflows / tool usage
- Multi-agent architectures
- MCP (Model Context Protocol) servers and integrations
- Agentic services and autonomous AI workflows including orchestration tool chaining and decision-driven execution across systems
Soft Skills & Expectations
- Ability to operate in fast-paced evolving environments with high adoption demands
- Strong collaboration with cross-functional and LOB teams
- Ability to translate business needs into technical solutions
- Experience working in enterprise environments with governance and compliance requirements
- Passion for enabling teams and driving measurable productivity improvements