AI Frontier · Speech-to-text API
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Machine Learning Senior ML Engineer to accelerate the AI research-to-production pipeline by building and improving infrastructure for deploying and testing new models, ensuring efficient, scalable, and reliable production inference systems. Requires strong backend engineering, distributed systems, and containerization experience, with a track record of driving projects from concept to delivery. | ServePost-train | 8 |
| Forward Deployed Engineer, Onboarding AssemblyAI is seeking a Forward Deployed Engineer to drive new customer activation, focusing on the transition from initial API calls to production usage. This role involves proactive customer engagement, debugging technical issues, tuning model configurations, and guiding customers through security and paperwork processes. The engineer will also build internal tooling to support team growth and aggregate customer feedback for product improvement. This is a cross-functional role requiring strong software engineering skills, sales instincts, and a deep interest in developer experience with voice AI. | Ship | 7 |
| Forward Deployed Engineer This role is for a Forward Deployed Engineer at AssemblyAI, a Voice AI company. The primary responsibility is to onboard and support customers, helping them integrate AssemblyAI's voice AI models into their products and drive API usage. The role involves working directly with customers, understanding their use cases, and acting as a liaison between customers and internal teams (Sales, Support, Engineering, Research, Product) to gather feedback and influence the product roadmap. It requires technical expertise, problem-solving skills, and a customer-centric approach, with a focus on ensuring customer success and driving growth. | Ship | 5 |
| Senior Software Engineer, Go - LLM Team Senior Software Engineer for an LLM team focused on building and maintaining a unified API gateway service that connects customers to multiple LLM providers. The role involves solving customer problems, optimizing prompt strategies, building features for AI and agentic workflows, and ensuring reliable access to LLM models. Requires strong Go proficiency, experience with LLM APIs, and collaboration with customer success and product teams. | Agent | 5 |