Senior AI Engineer

Dexian; Florida; On-site; USD 96,000 - 110,000; Full time

Job summary

Dexian seeks a Senior AI Engineer in Miami to drive end-to-end AI-driven software delivery. You will lead AI agents to create APIs, implement IaC, and optimize CI/CD pipelines across platforms.

The role requires deep software engineering, architectural judgment, and collaboration with architecture, QA, SRE, and product teams. The candidate should have 10+ years in software engineering, strong C#/.NET and frontend experience, and hands-on experience with Terraform, Kubernetes, and observability

Qualifications

• Bachelor's degree in CS/IT/engineering; master's preferred.
• 10+ years in software engineering including design and support.
• 7+ years with C#/.NET and backend tech; 5+ years frontend (React or similar).

Responsibilities

• Lead AI agents to generate backend APIs and client apps per specs.
• Direct AI to create infra as code, CI/CD pipelines, tests, observability.
• Evaluate AI outputs for errors, architecture, and operability.
• Define validation methods and automated tests for quality.
• Translate complex requirements into precise constraints and validation.
• Develop scalable, observable solutions for AI-driven delivery.
• Collaborate with architecture, QA, SRE, and product teams.

Skills

Software engineering

Architectural guidance

Communication

Education

Bachelor's degree

Master's degree preferred

Tools

C#/.NET

Terraform

CloudFormation

Pulumi

Azure Bicep

Azure DevOps

GitHub Actions

Docker

Kubernetes

SQL Server

PostgreSQL

Redis

Job description

Job Title: Senior AI Engineer

Location: Miami, FL (33178)

Duration: 6-12 months (high possibilities of conversion or extension)

Pay Range: $70/hr - $80/hr

Job Description:

The Senior AI Implementation Engineer is a key technical leader responsible for end-to-end delivery of software solutions within an AI-delegated development environment. This role ensures that applications, infrastructure, and operational components are correctly implemented, scalable, and aligned to business objectives. It involves directing AI coding agents to generate and refine technical artifacts, evaluating their correctness, and maintaining architectural integrity. The role emphasizes engineering judgment over manual coding, ensuring solutions are robust, observable, and capable of continuous improvement through AI-assisted practices.

Key Responsibilities:

• Lead AI agents to generate backend APIs and client applications based on detailed specifications, ensuring solutions meet architectural standards and business rules.


• Direct AI to create and improve infrastructure as code, CI/CD pipelines, automated testing assets, and observability configurations, reviewing outputs for security, operability, and maintainability.


• Critically evaluate AI-generated implementations to identify logical errors, architectural issues, unnecessary complexity, and operational gaps.


• Define validation methods, including automated tests, to guarantee quality and system coherence.


• Translate complex technical and business requirements into precise instructions, constraints, and validation mechanisms.


• Develop scalable, observable, and highly operable solutions that support ongoing AI-driven delivery enhancements.


• Collaborate with various stakeholders, including architecture, QA, SRE, and product teams, to ensure seamless integration and deployment.


• Maintain current knowledge of emerging agentic development methods and cloud deployment best practices, particularly related to Infrastructure as Code.

Required Qualifications:

• Bachelor's degree in computer science, Information Technology, Engineering, or an equivalent field; a master's degree is preferred.


• Over 10 years of professional experience in software engineering, including application design, implementation, and support.


• Extensive experience in reviewing and validating complex code and artifacts against operational and business requirements.


• At least 7 years of experience with modern application development using C#/.NET and related backend technologies.


• Minimum of 5 years of experience with front-end frameworks such as React or similar technologies.


• Proven expertise in infrastructure as code, particularly with Terraform, CloudFormation, Pulumi, or Azure Bicep.


• Significant experience designing and managing CI/CD pipelines using platforms like Azure DevOps or GitHub Actions.


• Deep understanding of observability practices including structured logging, metrics, tracing, dashboards, alerts, and SLOs.


• Experience working with relational (SQL Server, PostgreSQL) and NoSQL database systems.


• At least 3 years of experience with containerized deployment environments such as Docker, Kubernetes, and Helm.


• PREFERRED but not required: experience with event-driven architectures, message buses, Redis for coordination, legacy modernization, and related patterns.


• Strong ability to specify, assess, and leverage AI solutions using tools such as ChatGPT, Codex, or Copilot.


• Excellent communication and collaboration skills, with a focus on translating complex requirements into technical guidance.


• Relevant certifications such as AWS Solutions Architect, AWS DevOps Engineer, HashiCorp Terraform, or Kubernetes certifications are preferred.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.