This is a fully remote role, allowing you to work from anywhere in the world.

About Synthflow

At Synthflow we’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.

About the role

We’re looking for innovative DevOps Engineers to optimize the deployment, monitoring, and performance of our MLOps and LLM systems.

Key Responsibilities:

• Develop and manage a scalable and secure infrastructure for deploying TTS, STT, and LLM applications.

• Create and maintain CI/CD pipelines for continuous integration and deployment of various AI models.

• Work alongside ML engineers to optimize the training, validation, and deployment of speech and language models.

• Monitor and analyze system performance and resolve any issues to ensure reliability and efficiency.

• Innovate and implement best practices in cloud technology, containerization, and MLOps/LLM Ops tools to advance our operational capabilities.

Who you are:

• Experienced in DevOps, with a deep focus on MLOps and experience in LLM Ops.

• Proficient with cloud services (AWS, GCP, Azure) specifically for deploying ML and LLM environments.

• Expertise in container technologies such as Docker and orchestration tools like Kubernetes.

• Strong communication skills, capable of collaborating effectively with both technical and non-technical teams.

What you bring:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• Minimum of 3 years experience in DevOps, with significant exposure to MLOps and preferably LLM Ops.

• Strong programming and scripting skills in languages like Python.

• Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks.

What We Offer:

• Autonomy at speed: High-ownership roles in a fast-moving startup.

• Remote-first flexibility: Contribute from anywhere, on your schedule.

• Cutting-edge technology: Work on what interests you most.

• Career growth: Scale your impact as the company grows.

• Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.