Job Description
We are hiring visionary engineers to architect the intelligent systems of tomorrow. As we approach the 2026 paradigm shift in AI, Aethel Systems is seeking a talented AI Orchestration Engineer to build scalable, autonomous agent workflows that redefine human-machine collaboration.
In this role, you will bridge the gap between cutting-edge generative models and enterprise-grade infrastructure. You will design the nervous system of our AI products, ensuring reliability, scalability, and ethical alignment in a world of autonomous agents.
If you are passionate about the future of AI and want to shape the landscape of 2026, we want to hear from you.
Responsibilities
- Architect Autonomous Workflows: Design and implement complex multi-agent systems that can autonomously handle complex enterprise tasks using LLMs and deterministic logic.
- System Integration: Seamlessly integrate disparate AI models, databases, and APIs to create unified, high-performance applications.
- Performance Optimization: Continuously monitor, tune, and optimize inference costs and latency to ensure 99.99% uptime.
- Ethical AI Implementation: Develop and enforce guardrails to prevent hallucinations and ensure responsible AI output.
- Infrastructure Management: Manage containerized environments (Kubernetes/Docker) and cloud resources (AWS/GCP) for scalable deployment.
- Collaboration: Work closely with product managers, data scientists, and designers to translate technical requirements into user-centric features.
Qualifications
- Bachelor’s or Master’s Degree: In Computer Science, Artificial Intelligence, or a related technical field.
- Programming Mastery: Extensive experience in Python, TypeScript, or Go. Proficiency with frameworks like LangChain, LlamaIndex, or FastAPI.
- Deep Learning Knowledge: Strong understanding of transformer architectures, fine-tuning methods, and vector databases.
- System Design: Proven experience designing distributed systems and APIs capable of handling high concurrency.
- Problem Solving: Ability to debug complex, multi-layered systems and troubleshoot real-time data pipelines.
- Certifications: AWS Solutions Architect or Google Professional Cloud Developer is a plus.