remote
Hybrid AI Architect
Software Engineer
Design and implement hybrid AI solutions that coordinate cloud and edge resources, ensuring consistent API integration and robust distributed systems for large language model workloads.
About the role
Key Responsibilities
- Architect and develop end‑to‑end hybrid AI platforms that seamlessly schedule workloads across cloud and edge environments.
- Design and enforce consistency protocols for API integration across distributed services.
- Integrate and fine‑tune large language models (LLMs) to meet performance, latency, and scalability requirements.
- Collaborate with data engineering and DevOps teams to build resilient, fault‑tolerant distributed systems.
- Provide technical guidance, code reviews, and mentorship to engineering teams on AI and systems best practices.
Requirements
- 5+ years of experience in designing distributed systems and cloud‑edge architectures.
- Strong expertise in API integration, consistency models (e.g., CRDT, Paxos, Raft), and micro‑service orchestration.
- Hands‑on experience with large language models (GPT, BERT, etc.) and prompt engineering.
- Proficiency in Python and familiarity with containerization/orchestration tools such as Docker and Kubernetes.
- Solid understanding of AI/ML pipelines, data governance, and performance optimization in hybrid environments.