Synthflow AI is hiringAI Engineer
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 are now seeking a talented and passionate AI Engineer (LLM) to lead the product development, research, and technical architecture for our main product. This is a high-ownership role that will allow you to play a key part in shaping the future of AI.
Your responsibilities will include:
Research, design the architecture and implement new AI-powered features.
Implement those features together with the engineering team
Develop and maintain the backend infrastructure, ensuring scalability, performance, and reliability.
Participate in the entire software development lifecycle, including requirements analysis, design, implementation, testing, and deployment of AI features.
Research and implement new AI technologies, frameworks, and tools to enhance the platform capabilities.
Conduct code reviews and provide constructive feedback to team members to maintain code quality and best practices.
Stay up-to-date with the latest AI and software development trends, sharing knowledge with the team and actively contributing to continuous improvement.
Who you are:
Experience as a Python developer minimum 5 years
Experience in building data infrastructure that is both scalable and extensible
Experience in infrastructure containerization and DevOps & MLOps on (GCP or AWS)
Experience in building and maintaining enterprise-grade API’s (e.g. with fastAPI)
Knowledge hunger about AI and LMMs and desire make Agents accessible to Businesses and Developers
Builder mindset and enjoy to tinker around and experiment with complex systems
Beyond the basics:
Experience working with and fine-tuning Large Language Models (LLMs)
Experience with low-latency audio stream processing
Experience building production-grade applications with LLMs and using frameworks such as LangChain, LlamaIndex, etc.
Experience with large-scale distributed compute and cloud infrastructure
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.
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