GenAI / Full Stack
Recutify Inc. · Dallas, US
Job description
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 candidate's 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).
Exp:- 15+ Years
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
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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