Lead Full Stack Developer – AI Native

Job Title – Lead Full Stack Developer – AI Native

Duration – Long Term (90 Days Initial Engagement)
Work Mode – Onsite
Work Location – Plano, TX

We are seeking a highly experienced Lead Full Stack Developer who operates AI as a foundational part of modern software engineering and can lead teams in adopting AI-native development practices. The ideal candidate combines deep technical expertise with strong leadership capabilities, driving architecture, delivery excellence, and engineering innovation across full stack applications and AI-enabled workflows.

This role requires a hands‑on technical leader who has successfully integrated AI into the software development lifecycle — including code generation, review automation, agentic task execution, and developer productivity optimization — while mentoring teams and influencing engineering standards.

• Lead the design, architecture, and delivery of scalable full stack applications and AI-enabled engineering solutions
• Drive adoption of AI-native development workflows across engineering teams to improve productivity, code quality, and delivery velocity
• Provide technical leadership, mentoring, and guidance to developers across frontend, backend, cloud, and AI integration initiatives
• Establish engineering best practices, coding standards, CI/CD processes, and architectural governance
• Collaborate with cross-functional stakeholders, product teams, and business leaders to define technical roadmaps and solution strategies
• Architect and implement secure, scalable REST APIs and third‑party platform integrations
• Lead modernization initiatives using cloud-native and event‑driven architectures
• Evaluate and integrate emerging AI technologies, frameworks, and developer tooling into enterprise applications
• Conduct architecture reviews, technical design sessions, and code quality assessments
• Support production deployments, troubleshooting, performance optimization, and operational excellence initiatives

• Advanced proficiency with AI coding assistant tools such as Cursor, Claude, Git Hub Copilot, or similar platforms using multi‑file, codebase‑aware workflows, rules, plugins, and MCP servers
• Strong experience leveraging AI for code generation, refactoring, documentation, testing, and engineering automation
• Hands‑on experience with Lang Chain, Lang Graph, or equivalent agentic AI frameworks
• Strong understanding of RAG pipeline architecture, prompt engineering, vector search, and production AI use cases
• Experience with AWS Bedrock, Azure AI, OpenAI, or equivalent managed AI services
• Ability to guide teams in implementing AI‑assisted engineering practices and governance standards

• Strong experience with .NET / C#, Node.js, and Type Script
• Expertise in Azure services including App Services, Event Hub, Azure Functions, and Azure Dev Ops
• Extensive experience designing scalable distributed systems and REST APIs
• Proven leadership experience managing technical initiatives, mentoring developers, and driving delivery outcomes
• Strong understanding of cloud‑native architecture, microservices, CI/CD, and Dev Ops practices
• Experience integrating enterprise platforms, third‑party systems, payment gateways, or POS systems
• Strong problem‑solving, communication, and stakeholder management skills

Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related quantitative field.

• Databricks or Azure Data Platform experience
• AWS cloud infrastructure familiarity
• Experience with enterprise retail, commerce, payment gateway, or POS integrations
• Exposure to AI governance, observability, and LLMOps practices
• Prior experience leading distributed or offshore engineering teams