AI Engineer
Listed on 2026-09-09
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Software Development
AI Engineer (Applied/Software)
Date Posted: 08/26/2026
Hiring Organization:
Rose International
Position Number: 506326
Industry: IT Company
Job Title:
AI Engineer
Job Location:
Round Rock, TX, USA, 78681
Work Model:
Onsite
Shift: Standard working hours
Employment Type:
Temporary
FT/PT:
Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 70.00
Max Hourly Rate($): 87.00
Must Have Skills/Attributes: AI, JavaScript, Python, REST, SDLC, Security, Typescript
Experience Desired:
Software engineering experience (8+ yrs);
Hands-on experience with modern AI/LLM development (4+ yrs);
Strong programming proficiency (e.g., Python, Type Script/JavaScript, Go, or similar) (8 yrs);
Security Harness Engineering (3+ yrs)
Preferred Education:
Bachelor’s Degree
C2C is not available
Job DescriptionOnly qualified AI Engineer candidates located near Round Rock, TX are to be considered due to the position requiring an onsite presence
Required Education- Bachelor's in computer science or a related field, or equivalent practical.
- Master's degree in computer science or a related field
- Senior level Software Engineer with 8+ years' experience.
- Must have enterprise scalability experience with previous well-known company.
- Must have security experience, specifically security harness engineering experience.
- Must have enterprise scalability, Security Harness Engineering, and hands‑on AI software engineering experience.
- Demonstrated experience developing and deploying AI-based solutions in production environments, with measurable business or operational impact
- Strong programming proficiency (e.g., Python, Type Script/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
- Experience applying AI within a security domain - application security, Dev Sec Ops , 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, Git Hub Copilot, Cursor, Devin)
- Experience with AI evaluation frameworks, guardrails, prompt/response caching strategies, and LLMOps in production
Principal-level AI software engineer who builds production-ready AI solutions that make the software development lifecycle more secure and automated.
Responsibilities- Design, build, and deploy AI-powered capabilities across the SDLC, including:
- Spec Driven Development workflows that support the translation…
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