> Markdown version of [/jobs/ext/3966487-senior-full-stack-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3966487-senior-full-stack-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Full-Stack AI Engineer

- **Company:** Cogent Infotech Corp
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Software Debugging, Software Design Patterns, Pair Programming, Performance Tuning, Software Maintenance, Systems Development Life Cycle, Rapid Prototyping Process, Software Engineering, Software Systems, Kubernetes, Information Technology, Graphql, Serverless Computing, Docker, Programming Languages, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-full-stack-ai-engineer-dallas-tx--18a97042-a024-4af3-b3e2-2703ec8c02c4

## About the Role

Artificial Intelligence (AI), Information Technology & Information Systems, Consulting, Leading Edge Technology, Technical Leadership, Artificial Intelligence (AI), Performance Tuning/Optimization, Code Reviews, Rapid Prototyping, Problem Solving Skills, * Proven experience designing and implementing RESTful APIs, GraphQL, and microservices architecture.

 * Proficiency in deploying scalable applications on cloud platforms (Azure, AWS, or GCP) using serverless and container orchestration.
 * Demonstrated capacity to execute the full SDLC within Agile and Waterfall environments.
 * Expertise in building secure and maintainable software architectures.
 * Proficiency in developing across the full stack using multiple programming languages and frameworks.
 * Hands-on experience managing containerization and orchestration via Docker and Kubernetes.
 * Proven ability to implement comprehensive testing strategies, including unit, integration, and performance tests.
 * Proficiency in optimizing performance and troubleshooting complex system issues.
 * Demonstrated experience mentoring junior engineers through code reviews and pair programming.
 * Proven capacity to communicate technical concepts clearly to diverse stakeholders.
 * Successful track record of collaborating effectively within cross-functional teams to achieve project goals., * Bachelor's degree in Computer Science, Data Science, Engineering, or a relevant technical field.
 * Demonstrated capacity for software development, system design, and cloud-based application delivery, typically acquired through six or more years of experience.
 * Proven experience with modern full-stack frameworks and cloud platforms (Azure, AWS, or GCP), typically spanning three or more years.
 * Demonstrated ability to lead technical initiatives, mentor engineering teams, and successfully drive the end-to-end delivery of complex software solutions.

## Description

This role requires demonstrated capacity to lead the design, development, and implementation of complex, high-impact applications that support strategic goals. It entails a proven track record of providing technical guidance to engineering teams and collaborating across departments to deliver innovative, scalable, and secure software solutions., * Architect and build complex system components, optimizing performance and delivery through AI-assisted tools.

 * Uphold high engineering standards through thorough code reviews and the responsible integration of AI-generated code.
 * Independently drive solutions for ambiguous requirements, utilizing AI for rapid prototyping and complex problem-solving.
 * Create robust testing strategies (unit, integration, automated) and leverage AI to identify edge cases and coverage gaps.
 * Document technical architecture, design decisions, and AI-driven processes.
 * Lead Agile ceremonies, providing status updates and optimizing workflows through AI-integrated practices.
 * Mentor junior and mid-level engineers on software design patterns, testing, and ethical AI usage.
 * Debug and resolve complex production issues using AI-enabled diagnostics.
 * Evaluate new technologies and AI capabilities to improve system resiliency and developer productivity.
 * Partner with cross-functional teams to align on technical goals and ensure high-quality delivery.