Why This Role Stands Out
This remote AI Engineer role offers an exceptional opportunity to design and deploy cutting-edge AI agents using Google's ADK, with significant potential for impact and skill development in multi-agent systems. You'll thrive here if you're a mid-senior engineer eager to build production-grade AI solutions and integrate them with enterprise platforms, all while enjoying competitive hourly compensation. Apply now to shape the future of AI!
Quick Overview
Job Description
Job Title: AI Engineer
Location: Dallas, TX
Duration: 6 Months + Extension
Bill Rate: $88 -$93/hour
Job Type: C2C/1099 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Duites:
- Design, develop, and maintain AI platforms, developer tools, frameworks, and shared services for engineering teams.
- Build and integrate AI capabilities using Google Cloud Platform, Gemini, Vertex AI, Claude Code, GitHub Copilot, MCP, and agentic AI frameworks.
- Design reusable AI orchestration patterns, integrations, reference implementations, and tools for custom AI agents.
- Develop sequential, multi-agent, and deterministic graph-based workflows.
- Build and support MCP servers and clients that expose tools, resources, and enterprise data to AI agents.
- Develop Java/Spring Boot services and REST APIs supporting AI and platform capabilities.
- Integrate AI services with enterprise cloud, security, identity, and development platforms.
- Implement logging, metrics, distributed tracing, token-utilization monitoring, and other observability capabilities.
- Apply security, privacy, access control, responsible AI, governance, and cost-management practices.
- Partner with development teams to help build, deploy, and operate custom AI agents and AI services.
- Participate in architecture discussions, technical design, code reviews, testing, troubleshooting, and production support.
- Contribute to technical documentation, release management, adoption initiatives, and continuous improvement of shared AI platforms.
- Mentor junior engineers and promote AI engineering best practices across development teams.
Required Qualifications
- 5–7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline.
- Proven experience delivering production-quality software solutions.
- Hands-on experience building or integrating AI, LLM, developer-platform, or automation solutions.
- Experience with Google Cloud Platform, Gemini, Vertex AI, or comparable cloud-based AI platforms.
- Strong understanding of application architecture, APIs, integration patterns, and software design principles.
- Hands-on experience developing Java/Spring Boot REST APIs.
- Working knowledge of React.js or comparable front-end technologies.
- Experience with secure API integrations and OAuth 2.0 / OpenID Connect.
- Understanding of CI/CD, observability, reliability, security, privacy, and responsible AI practices.
- Strong problem-solving, communication, documentation, and collaboration skills.
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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