Currently tracking 2 active AI roles, with 5 new openings in the last 4 weeks. Primary focus: Ship · Engineering.
AI Frontier · Speech-to-text API
AssemblyAI currently has 2 active AI-related roles in our index. The most common open titles are: Applied AI Engineer , Senior Software Engineer, Go - LLM Team. Most positions are in Engineering.
AssemblyAI's active AI hiring is concentrated in: application (50%), agents (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at AssemblyAI most frequently reference: audio speech, agent orchestration, tool use, llm observability, model serving.
In the past 30 days, AssemblyAI has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Applied AI Engineer Applied AI Engineer role focused on customer-facing technical work, building demos, troubleshooting production issues, and helping customers implement Speech AI models. The role involves guiding customers, leading technical discovery, assisting with evaluations, and influencing product roadmap based on customer feedback. Requires strong technical skills, communication, and creativity, with a focus on real-world applications of AI models. | Ship | 7 |
| Senior Security Operations Engineer AssemblyAI is seeking a Senior Security Operations Engineer to join their IT & Security team. This role focuses on security engineering and operations, including threat modeling, secure code reviews, security tooling, infrastructure hardening, compliance audits (SOC 2, ISO 27001, PCI 4.0), vulnerability management, and customer questionnaires. The role involves hands-on engineering work and operational tasks to protect the company's infrastructure and customer data, supporting a mature security and compliance program. | — | 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 |