AI Infrastructure Engineer
AI summary
Zof AI is hiring an AI Infrastructure Engineer in Accra to own the platform powering its production AI systems. The role covers model serving and scaling, GPU and compute efficiency, agent provisioning, observability, and reliability infrastructure. Candidates should have production AI or high-scale backend experience, strong systems engineering skills, and comfort operating in a fast-moving environment.
- Single vacancy, full-time role based in Accra, Greater Accra.
- Salary range GH₵ 8,000 – GH₵ 16,000 per month.
- Covers AI infrastructure, MLOps, LLMOps, and agent platform engineering.
- Requires production AI, ML, or high-scale backend experience.
- Cloud, containers, orchestration, and observability experience expected.
- Application is via the company site.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists GH₵ 8,000 - GH₵ 16,000 / month. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in technology, Infrastructure Engineering, MLOpsThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in AccraThe vacancy is associated with this location.
- UnclearComfort with the Full time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest AI Infrastructure Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Zof AI and the role in Accra.
- Add concrete examples related to technology, Infrastructure Engineering, MLOps, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobHub Ghana; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- JobHub Ghana
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this AI Infrastructure Engineer role in technology, Infrastructure Engineering?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Accra under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Zof AI before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
GH₵ 8,000 - GH₵ 16,000 / month
Vacancies
1
Open
Job Type
Full-time
Accra, Greater Accra
Apply on Company Site
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Job Description
Zof AI is seeking an AI Infrastructure Engineer to own the platform our AI systems run on. This is a consolidated platform role spanning what the market posts as AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving and scaling, GPU and compute efficiency, and the provisioning, observability, and reliability infrastructure that keeps production agents stable. The ideal candidate has operated real AI workloads in production and builds infrastructure that lets a small team run systems well above its weight.
Responsibilities
- Design and operate model serving, scaling, and compute infrastructure.
- Own GPU and inference efficiency, capacity, and cost.
- Build the platform for provisioning, running, and scaling agents.
- Build observability for AI systems: tracing, monitoring, and alerting.
- Keep production AI systems stable, debuggable, and recoverable.
- Automate deployment, rollback, and environment management.
- Set reliability standards and incident practices for AI workloads.
- Partner with engineers to make the platform fast to build on.
Requirements
Experience
- operating production AI, ML, or high-scale backend systems.
- Strong infrastructure and systems engineering foundation.
- with cloud platforms, containers, and orchestration.
- with observability and reliability tooling.
- Judgment about cost, performance, and operational trade-offs.
- Clear written and verbal communication.
- Comfort operating in a fast-moving environment.
- High ownership of systems in production.
- Nice to have
- with GPU clusters, inference servers, or model gateways.
- running agent workloads or long-lived AI processes.
- with Kubernetes, Terraform, or similar tooling.
- in early-stage platform teams.
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- Job Overview
- GH₵ 8,000 - GH₵ 16,000 / month
- Vacancies
- 1
- Open
- Job Type
- Full-time
- Accra, Greater Accra
- Apply on Company Site
- Want to track your applications, save jobs, and get alerts?
- Create a free account
- About the Employer
- Zof AI
- Software Development
- · 11-50 employees
- Zof AI provides real-time software reliability infrastructure for modern engineering teams.
- As software systems become more dynamic through AI-assisted development, rapid deployments, and distributed architectures, traditional validation workflows struggle to keep pace with the speed of change.
- Zof AI continuously observes software behavior, detects deviations from expected outcomes, and coordinates validation and corrective workflows designed to improve software reliability in real time.
- The platform combines autonomous testing, runtime system understanding, remediation orchestration, and system graph intelligence into a continuous reliability workflow across evolving software environments.
- Humans remain in control by defining intent, policies, and approval boundaries, while Zof AI automates continuous validation and operational reliability processes.
- Zof AI is focused on helping organizations improve software reliability at the speed of modern development.
- View Company Profile
- Apply on Company Site