Lead Full Stack AI Engineer

Sierra Business Solution LLC
Tampa, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tampa, United States of America

Tech stack

.NET
API
Artificial Intelligence
Azure
Software Quality
Code Review
Cursor (Graphical User Interface Elements)
Machine Learning
Systems Integration
React
Large Language Models
Multi-Agent Systems
Reliability of Systems
Backend
AI Platforms
Front End Software Development
Virtual Agents
REST
Microservices

Job description

Experienced Full Stack Tech Lead responsible for driving the design and development of intelligent, agentic AI applications and scalable full-stack solutions using .NET and React.

Lead the design, development, and deployment of full-stack applications, APIs, and agentic AI workflows using .NET and React.

Architect scalable, maintainable, and high-performing microservices and AI-enabled backend systems.

Design and implement agentic AI patterns (LLM orchestration, tool use, RAG, multi-agent workflows, and human-in-the-loop flows).

Collaborate with product owners, architects, dataML teams, and cross-functional stakeholders to define requirements and deliverables.

Guide and mentor engineering teams, promoting best practices, code quality, and knowledge sharing across frontend and backend.

Conduct code reviews, enforce coding standards, and ensure secure, reliable, and high-quality delivery.

Integrate AI services (LLMs, embeddings, vector stores, MCPtooling) into production-grade .NET applications.

Build responsive, performant React frontends that support AI-driven user experiences (chat, copilots, workflow automation, dashboards).

Identify and resolve performance bottlenecks, scalability issues, and system reliability concerns across the stack.

Manage project timelines, prioritize tasks, and communicate risks and status to stakeholders.

Stay updated with the .NET, React, and agentic AI ecosystem, applying improvements where needed.

Requirements

Familiarity with AI tools such as Cursor and Claude is advantageous.

Experience in integrating machine learning components is a plus.

Knowledge of RESTful APIs and database management will enhance a candidates profile.

Understanding of best coding practices is beneficial.

Proficiency in .NET framework and strong experience with React are essential for this role.

Candidates must have a solid understanding of both frontend and backend architectures.

Experience with Azure for cloud deployment is also critical.

Strong problem-solving skills and the ability to work collaboratively are necessary., >> Excellent communication skills are a must for effective teamwork.

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