AI Engineer

Computer Visionaries AI•Dallas, TX
•Hybrid

About The Position

Computer Visionaries (CV.AI) is seeking a mid-level AI Engineer to architect, test, document, and ship production-grade solutions for clients, using AI agents as a personal force multiplier. The engineer will work across client engagements and industries, translating business requirements into agentic workflows, deploying intelligent systems, and ensuring deliverables meet enterprise standards for security, scalability, and repeatability. The role involves regular client interaction, including clearly and confidently explaining technical deliverables and progress. The engineer will work alongside senior engineers and engagement leads in small, fast-moving teams. The position is hybrid and based in the Dallas, Texas, Galleria / Addison area. It is open only to U.S. citizens and permanent residents, and an offer may be contingent on a background check.

Requirements

  • 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.
  • 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 hybrid schedule from the Dallas offices in the Galleria / Addison area.
  • Open to U.S. citizens and permanent residents only.

Nice To Haves

  • Experience building or implementing agentic knowledge systems, including RAG pipelines, agent memory systems, or wikis designed for shared human-agent use.
  • Hands-on experience integrating computer vision technologies into production systems.
  • Familiarity with LLM APIs, including Anthropic Claude, Google Gemini, OpenAI, or equivalent, and prompt engineering patterns.
  • Experience with agentic frameworks such as LangChain, LlamaIndex, or CrewAI, and integration protocols such as Model Context Protocol (MCP).
  • Prior experience in consulting, managed services, or client-embedded delivery.
  • Experience working in regulated environments or with compliance frameworks such as FedRAMP, SOC 2, or HIPAA.
  • Proficiency in Python, TypeScript/JavaScript, or both.

Responsibilities

  • 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 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.

Benefits

  • Competitive W2 compensation, commensurate with experience.
  • Hybrid schedule.
  • Exposure to a diverse range of industries and technical challenges.
  • Small, high-impact teams where contributions are visible and valued from day one.
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