AI Engineer

Job Title : AI Engineer

Location: Round Rock, Texas, 78682

Duration: 18+ Months

Job Type : Contract (We can consider - W2)

Responsibilities:

Top Skills Details:

• Must have enterprise-scale implementation experience where they have hands on experience building Autonomous agents through production for business workflows
• Can discuss architecture decisions and business outcomes
• Demonstrate end-to-end ownership
• Understand token optimization
• Security Harness Engineering (Anyone in this space should know this)

Security Background is a huge plus:

• Experience applying AI within a security domain - application security, DevSecOps, code analysis,
  threat modeling, firmware security or software supply-chain security
• Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP,
  including the OWASP Top 10 for LLM Applications; NIST SSDF)

Required Skills and Qualifications

• Demonstrated experience developing and deploying AI-based solutions in production environments, with measurable business or operational impact
• Strong programming proficiency (e.g., Python, TypeScript/JavaScript, Go, or similar) and adherence to software engineering best practices, including testing, code quality, and maintainability
• Hands-on experience with modern AI/LLM development, including:
• Context engineering - designing what informs the model\'s context window, including agentic retrieval and search, memory architectures, grounding in enterprise data, and structured outputs
• Agentic system design - agent loop engineering, multi-agent and sub-agent orchestration, and tool/function calling
• Context window management and token budgeting, including cost and latency optimization for production workloads
• Evaluation of AI system quality, reliability, and safety
• Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility
• Experience developing and/or deploying applications with large-scale impact (broad user base, high transaction volume, or organization-wide adoption)
• Experience integrating with multiple systems and platforms (REST/GraphQL APIs, CI/CD pipelines, cloud services, enterprise tooling)
• Demonstrated ability to work independently across the full delivery lifecycle - requirements analysis, solution design, implementation, deployment, and stakeholder engagement - with accountability for results
• Strong communication and collaboration skills, with the ability to convey technical concepts to both engineering and business audiences
• Working knowledge of secure development practices and experience designing solutions that meet enterprise security and compliance requirements

Preferred Skills and Qualifications

• Experience applying AI within a security domain - application security, DevSecOps, code analysis, threat modeling, firmware security or software supply-chain security
• Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP, including the OWASP Top 10 for LLM Applications; NIST SSDF)
• Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, Devin)
• Experience with AI evaluation frameworks, guardrails, prompt/response caching strategies, and LLMOps in production
• Experience mentoring engineers or leading technical enablement initiatives
• Bachelor\'s or master\'s degree in computer science or a related field, or equivalent practical experience