Expert Engineer (Remote)
Hire Feed · United States
- Hybrid
- Contract
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Deploy AI solutions for enterprise clients remotely.
- Integrate, optimize, and troubleshoot AI models.
- Ensure AI system reliability and performance.
- Support AI adoption and intelligent automation.
- Collaborate with product and engineering teams.
About the role
Expert AI Engineer (Remote)
Role Overview:
This contractual role focuses on deploying and maintaining AI-driven solutions for enterprise clients in real-world environments. You will work directly with customers to integrate, optimize, and troubleshoot AI models and cloud infrastructure, ensuring operational reliability and performance. The work supports scalable AI adoption across industries transitioning to intelligent automation. Precision in deployment and hands-on technical support are central to success.
Key Responsibilities:
- Deploy AI models and cloud-based inference systems into customer environments with minimal latency and maximal uptime.
- Conduct technical onboarding sessions and provide live debugging support during integration to resolve real-time issues.
- Monitor system performance using SLA dashboards and recommend infrastructure adjustments to meet service-level targets.
- Write and maintain deployment documentation, including runbooks and troubleshooting guides for internal and customer teams.
- Collaborate with product and engineering teams to relay field feedback and influence roadmap priorities.
Required Skills & Qualifications:
- Bachelor’s degree in computer science, engineering, or a related quantitative field with 3+ years of hands-on experience deploying AI systems.
- Proficiency in Python and at least one infrastructure-as-code tool such as Terraform or Ansible for reproducible deployments.
- Experience with cloud platforms (e.g., AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes) in production settings.
- Strong debugging skills across distributed systems, including logs, metrics, and network diagnostics.
- Ability to articulate technical concepts to non-technical stakeholders and document complex procedures clearly.
More About the Opportunity:
This role offers the chance to influence how global organizations operationalize AI at scale, directly impacting their ability to deliver intelligent products. You will gain exposure to cutting-edge AI deployments across multiple sectors while shaping best practices in reliability and performance. The position also provides flexibility to work from anywhere with a results-driven contract structure.
Key skills/competency:
- AI Deployment
- Cloud Infrastructure
- Python
- Kubernetes
- Terraform
- Ansible
- Debugging
- System Monitoring
- Technical Documentation
- Customer Support
Skills & topics
- AI Engineer
- Expert Engineer
- Remote
- AI Deployment
- Cloud
- Python
- Kubernetes
- Terraform
- Ansible
- Debugging
- Distributed Systems
- Contract Role
How to get hired
- Tailor your resume: Highlight AI deployment, Python, cloud, and Kubernetes experience.
- Showcase problem-solving: Detail debugging successes in distributed systems.
- Demonstrate communication skills: Provide examples of technical documentation and stakeholder interaction.
- Emphasize remote work ability: Mention experience with self-management and asynchronous communication.
- Prepare for technical interviews: Review AI concepts, cloud platforms, and infrastructure-as-code tools.
Technical preparation
Practice Python for AI model integration.,Master Terraform or Ansible for deployments.,Deepen Kubernetes and cloud platform knowledge.,Prepare for distributed system debugging scenarios.
Behavioral questions
Describe a complex AI deployment challenge.,How do you handle client integration issues?,Explain your documentation process for systems.,How do you prioritize competing technical feedback?
Frequently asked questions
- What is the work arrangement for the Expert AI Engineer role at Hire Feed?
- The Expert AI Engineer position at Hire Feed is fully remote, allowing you to work from anywhere.
- What are the primary responsibilities of an Expert AI Engineer at Hire Feed?
- The primary responsibilities include deploying and maintaining AI-driven solutions, integrating and optimizing AI models, troubleshooting systems, monitoring performance, and documenting procedures for enterprise clients.
- What technical skills are essential for the Expert AI Engineer position?
- Essential technical skills include proficiency in Python, experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, Ansible).
- Does Hire Feed offer opportunities for career growth in AI engineering?
- Yes, this role offers the chance to influence AI operationalization at scale, gain exposure to cutting-edge AI deployments, and shape best practices, providing significant growth opportunities.
- What kind of support can I expect during the integration process as an Expert AI Engineer at Hire Feed?
- You will provide live debugging support during integration and conduct technical onboarding sessions to ensure smooth and efficient issue resolution for clients.
- How does Hire Feed handle documentation for AI deployments?
- You will be responsible for writing and maintaining deployment documentation, including runbooks and troubleshooting guides for both internal teams and customers.
- Is this a full-time or contract position at Hire Feed?
- This is a contractual role with a results-driven structure, offering flexibility to work from anywhere.