AI Engineer

AI Engineer
Mid-Level | Dallas, TX (Hybrid) | Full-Time

Computer Visionaries (CV.AI) is a Dallas-based AI software development firm that helps businesses achieve AI sovereignty and get off the SaaS treadmill. We don’t believe in renting someone else’s roadmap. We believe in building solutions purpose-built for each client’s business, powered by the latest in agentic AI and intelligent automation.

We work across industries, including manufacturing, construction, investment management, and hospitality, helping organizations use agentic technology to transform how they operate. Our engagements range from replacing bloated SaaS stacks with custom AI-driven workflows to building multi-agent systems that automate entire business processes.

, we see agentic development and vibe coding as personal multipliers. Agents represent a fundamental shift in how software gets built and delivered. Our team members respond, “I’ll get my agent on that,” for everything from architecture design to task updates. If that mindset resonates with you, keep reading.

Job Title:

AI Engineer
Level: Mid-Level

Employment Type:

W2, Full-Time

Location:

Hybrid — Dallas, TX (Galleria / Addison area)

Reports To:

VP, AI Engineering
Compensation:
Competitive, commensurate with experience

We’re looking for a mid-level AI Engineer who uses AI agents as a personal force multiplier to architect, test, document, and ship production-grade solutions for our clients.

You’ll work on client engagements across industries, translating business requirements into agentic workflows, deploying intelligent systems, and ensuring every deliverable meets enterprise standards for security, scalability, and repeatability.

You’ll also regularly interact with clients, explaining technical deliverables clearly and confidently. You’ll work alongside senior engineers and engagement leads in small, fast-moving teams where every team member has an outsized impact.

To meet our clients’ requirements, this role is open only to U.S. citizens and permanent residents. An offer of employment may be contingent on a background check.

• Design, build, and deploy agentic AI solutions, from single-agent workflows to multi-agent orchestration, with agents serving as core functionality, user interfaces, or both.
• Use spec-driven and test-driven development practices with AI agents to produce reliable, secure, tested, and well-documented code.
• Identify and bring new applications of AI to our clients’ businesses.
• Evaluate agent-produced code for quality, security, and alignment with client requirements.
• Build and integrate client-facing applications that embed AI capabilities where users work, replacing manual processes and legacy SaaS tools.
• Contribute to agentic knowledge systems, including RAG pipelines, agent memory architectures, and shared human-agent wikis.
• Document architectures, decision criteria, integration patterns, and deployment configurations to support knowledge transfer.

• 2–5 years of software engineering experience with a demonstrated track record of production deployments.
• Experience using AI agents, coding assistants, or agentic frameworks to deploy production-grade code at a company or for a client.
• Experience with spec-driven and test-driven development workflows.
• Ability to critically evaluate agent-produced code and identify hallucinations, security gaps, and quality issues before deployment.
• A strong focus on security, scalability, repeatability, and well-documented deliverables.
• Strong written and verbal communication skills.
• Comfort presenting technical deliverables and progress directly to clients.
• Familiarity with modern web frameworks, RESTful APIs, and CI/CD workflows.
• Ability to work a…