• Collaborate with frontend and backend teams to deliver AI-powered user experiences

• Continuously evaluate and prototype emerging frameworks (e.g., Hugging Face, LangChain, LLaMA) to improve performance and scalability

Qualifications:

Required:

• 3+ years of experience in AI/ML engineering, with hands-on experience in building and deploying LLM-based systems

• Strong proficiency in Python and familiarity with frameworks such as Hugging Face Transformers and LangChain

• Practical experience with Weaviate or similar vector databases for RAG-based systems

• Understanding of low-latency voice technologies, including streaming pipelines and real-time audio processing

• Solid background in infrastructure: Docker, Kubernetes, CI/CD, monitoring, and secure API development

Preferred:

• Experience building multi-step agent orchestration or custom AI workflows

• Knowledge of latency reduction techniques (e.g., model quantization, caching)

• Familiarity with designing voice-first conversational UX

• Strong understanding of security, data protection, and adversarial considerations in AI pipelines

• A product mindset and experience shipping end-to-end features

• Comfort with ambiguity and rapid iteration in a startup environment

Company:

Founded in , the company is headquartered in , with a team of 2-10 employees. The company is currently Early Stage.