Senior AI Engineer: Build Scalable GenAI & LLM Systems

Zingly, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Zingly, Inc. in San Francisco, CA is seeking a Senior AI Engineer with 5–8 years of experience to develop high-performance AI solutions, including LLMs and GenAI applications.

You will design, train, deploy, and govern AI systems on the Zingly platform, build scalable APIs, and collaborate across product and engineering teams to shape the direction of our AI products. You will lead the design and implementation of domain-specific LLMs, ensure security and governance, and drive production

Qualifications

• 5–8+ years in ML/AI engineering with focus on NLU and GenAI systems.
• Hands-on with agentic AI, multi-agent systems, planning and memory.
• Deep knowledge of LLM training, fine-tuning, evaluation and safety.
• Experience building real-time conversational and Voice AI systems.
• Proven track record of taking ML systems from research to production.

Responsibilities

• Design and build state-of-the-art AI systems, including guardrails for LLMs.
• Architect, scale, and optimize AI solutions on the Zingly platform.
• Develop and integrate REST APIs for backend services (e.g., STT, TTS, STS).
• Design high-performance, scalable & secure APIs with governance.
• Build and deploy scalable modules leveraging LLMs and proprietary models.
• Develop interfaces powered by LLMs and enable GenAI applications for clients.
• Lead design and development of domain-specific LLMs for use cases.
• Contribute to technical direction and engineering excellence.

Skills

LLMs

GenAI

Python

APIs

MLOps

Docker/Kubernetes

Distributed systems

AWS

Education

Bachelor's degree in CS/Engineering/Math

Tools

CI/CD

Cloud platforms

Job description

Zingly, Inc. in San Francisco, CA is seeking a Senior AI Engineer with 5–8 years of experience to develop high-performance AI solutions, including LLMs and GenAI applications.

You will design, train, deploy, and govern AI systems on the Zingly platform, build scalable APIs, and collaborate across product and engineering teams to shape the direction of our AI products. You will lead the design and implementation of domain-specific LLMs, ensure security and governance, and drive production