oryxsearch.io is hiring an AI Engineer - Agents (GCC or Remote) to join a growing Data & AI function focused on embedding intelligent automation into core operational workflows.

This is a hands-on, end-to-end AI engineering role covering LLM pipelines, agent-based systems, RAG workflows, structured data extraction, backend infrastructure, and production-grade AI capabilities.

oryxsearch.io is connected to the Data & AI and intelligent automation space. The role described focuses on building AI-powered systems that improve how organizations operate through scalable, reliable, and production-ready automation.

The position requires collaboration across Product, Engineering, Operations, and Data teams, with a strong emphasis on correctness, reliability, and real-world deployment.

There is currently one confirmed job opening listed for oryxsearch.io: AI Engineer - Agents (GCC or Remote). This role is focused on agentic AI, LLM-powered products, backend systems, AI infrastructure, and reliable production deployment.

The job is suitable for AI engineers who can take ownership of technical problems from concept through deployment and who are comfortable working across model integration, backend engineering, internal tooling, and evaluation frameworks.

The role sits within a growing Data & AI function and requires close collaboration with Product, Engineering, Operations, and Data teams. The work environment is likely to be fast-moving, practical, and engineering-focused, with a strong emphasis on shipping reliable AI systems into real operational workflows.

Because the domain requires precision and reliability, candidates should be comfortable building robust and scalable systems, especially where correctness and production performance matter.

General Requirements and Qualifications

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Job Overview

The AI Engineer - Agents role at oryxsearch.io is focused on building intelligent automation capabilities for core operational workflows. This is a highly hands-on position that spans LLM pipelines, agent-based systems, backend infrastructure, and production deployment.

The selected candidate will work on AI-powered systems that must be robust, scalable, reliable, and suitable for live operating environments where accuracy and correctness are essential.

Key Responsibilities

The AI Engineer will design and deliver AI-powered features end-to-end, covering model integration, backend systems, and user-facing components. The role includes building and maintaining scalable AI infrastructure, including LLM inference pipelines, retrieval-augmented generation systems, and structured data extraction workflows.

The engineer will also develop agent-based workflows to automate complex operational processes, collaborate with data teams to ensure AI systems are grounded in high-quality structured data, and build internal tools and evaluation frameworks to monitor and improve model performance in production.

Qualifications

Candidates should have strong software engineering fundamentals across backend systems, APIs, and cloud infrastructure. They should also have proven experience building and deploying LLM-powered applications in production environments.

Relevant experience may include prompt engineering, retrieval-augmented generation, structured extraction, agentic workflows, tool usage, fine-tuning, and multi-agent systems where these techniques create meaningful business impact.

Skills and Experience

The role requires practical experience with LLM-powered applications, AI infrastructure, backend services, API design, cloud deployment, RAG, structured data extraction, agent-based workflows, and production monitoring.

Applicants should also be comfortable working with complex or sensitive data where correctness and reliability are critical. A pragmatic, execution-focused mindset and a strong bias toward shipping and iteration are important for success in this position.

Work Environment and Department Context

This position is part of a Data & AI function working cross-functionally with Product, Engineering, and Operations teams. The role requires practical technical ownership and the ability to move from concept to working production systems.

Because the work involves intelligent automation in operational workflows, the AI Engineer should be able to balance innovation with reliability, evaluation, observability, and maintainable backend architecture.

Why This Role Matters

Agentic AI and LLM-powered automation can materially improve how organizations operate by reducing manual work, improving decision support, and enabling scalable workflows. This role is important because it turns AI concepts into dependable production capabilities that teams can use in real business environments.

How to Apply for This Job

Candidates can apply through the official job source. Always review the latest requirements and application steps before submitting your CV.

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Applicants for the AI Engineer - Agents role should prepare evidence of production experience with LLM-powered applications, backend engineering, API development, cloud infrastructure, RAG systems, structured extraction, and agentic workflows.

Because the role focuses on reliable AI systems, candidates should also highlight examples where they built evaluation tools, monitoring systems, data-quality workflows, or production-grade AI infrastructure.

Your CV should clearly show your experience with LLM applications, backend systems, APIs, cloud infrastructure, RAG, agent workflows, and production deployment. Include specific examples of AI systems you have built, the technologies used, and the impact of those systems.

For this type of role, it is useful to mention evaluation frameworks, monitoring, model performance measurement, structured data extraction, prompt design, and any experience with sensitive or complex data where accuracy was essential.

Application Tips

Before applying, review the job title, location or remote eligibility, AI engineering requirements, and production deployment expectations. Prepare a CV that emphasizes shipped projects, not only research or experiments.

Apply only through the official application channel and avoid sharing sensitive personal information outside trusted platforms.

Frequently Asked Questions

How many jobs are listed in this article?

This article includes one confirmed job opening: AI Engineer - Agents (GCC or Remote) at oryxsearch.io.

Is this AI Engineer role remote?

The job title states GCC or Remote, so the role may be suitable for candidates based in the GCC or working remotely, according to the provided job title.

What type of AI work does this role involve?

The role involves LLM pipelines, RAG, structured data extraction, agent-based workflows, production backend systems, evaluation tooling, and AI-powered feature development.

Is salary information mentioned?

No confirmed salary information was available, so salary details were not added.

Is JobPosting schema included?

Yes. One JobPosting object is included for the confirmed AI Engineer vacancy.