About Dokainish & Company
Since 2011 Dokainish & Company has been providing world class professional consultancy services.
We specialize in working diligently and collaboratively with our clients to achieve long-lasting and impactful results across numerous business functions. Our areas of expertise include, but are not limited to, Project Management, Quantitative Risk Analysis, Organizational Change Management, Project Controls, Enterprise Reporting, Estimating, Asset Management, and System Implementation for Capital Projects. We draw upon decades of project experience to deliver customized solutions to our clients most complex challenges.
We are a fast-growing organization, currently seeking a Senior AI & Agent Systems Engineer to design, build, and operate production-grade AI systems embedded within enterprise software platforms.
IMPORTANT: Please provide a link to one or more of the following: GitHub profile, technical portfolio, architecture documentation, or public project write-up on your resume.
Role Overview
This role owns the architecture, implementation, reliability, and governance of AI-driven services, including intelligent agents and orchestration layers. You will work closely with the Engineering Manager and senior developers to integrate AI capabilities into real systems with real users, cost constraints, and failure modes.
This is not a research or prompt-only role. Strong software engineering fundamentals are mandatory.
This is a remote position based in Egypt.
Key Responsibilities:
AI Systems & Agent Architecture
- Design and implement agent-based systems that operate reliably in production
- Build orchestration logic for multi-step and multi-agent workflows
- Define agent boundaries, responsibilities, and failure handling strategies
- Make architectural trade-offs balancing accuracy, latency, cost, and reliability
Backend & Platform Integration
- Build and maintain AI-backed backend services using Java and/or TypeScript
- Integrate LLMs into existing APIs, workflows, and data pipelines
- Ensure AI systems respect authentication, authorization, and access controls
- Work within existing system constraints rather than rebuilding everything
Guardrails, Evaluation & Operations
- Implement guardrails to control AI behavior and prevent unsafe or misleading outputs
- Design evaluation approaches for AI outputs and agent behavior
- Implement logging, monitoring, and alerting for AI systems
- Track and clearly communicate AI limitations, failure modes, and operational risks
- Manage rate limiting, cost controls, and usage visibility
AI Governance & Enablement
- Ensure AI usage aligns with security, privacy, and compliance expectations
- Review and harden AI-assisted code before production release
- Guide other engineers on safe and effective AI integration
- Push back when AI is proposed where it introduces more risk than value
Collaboration
- Work closely with the Engineering Manager on system design and delivery planning
- Coordinate with backend and frontend engineers to integrate AI capabilities cleanly
- Contribute to technical discussions, design reviews, and production readiness efforts
Requirements
Required Skills & Experience
- 7+ years of professional software engineering experience
- Strong proficiency in Java (non-negotiable)
- Strong proficiency in at least one additional backend language (TypeScript or Python)
- Experience building and operating production backend systems
- Hands-on experience integrating LLMs into real applications
- Experience building or operating agent-based or workflow-driven AI systems
- Deep understanding of:
- LLM behavior and limitations
- hallucination risks and mitigation
- prompt versioning and validation
- retrieval-augmented generation (RAG)
- Strong system design, data modeling, and API design skills
- Comfort operating independently with minimal supervision
- Ability to explain complex technical decisions to non-technical stakeholders
- Must have full professional proficiency of the English language
Working Arrangements
- Must be based in Egypt.
- Availability and willingness to work during Eastern Time (ET) business hours
