Senior Software Engineer, Go - LLM Team
AssemblyAIJob Description
About AssemblyAI
AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI.
We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support—with more significant improvements on the roadmap.
We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for researchers who will shape its future.
About the Role
We're seeking an exceptional Senior Software Engineer to join our LLM team. This role is focused on building and maintaining our LLM gateway service—a unified API platform that connects customers to multiple LLM providers. You'll work on high-impact projects that directly solve customer problems, improve their AI and agentic workflows, and ensure reliable access to the best models for their use cases.
This is a deeply customer-focused role. You'll work closely with our customer success team to understand customer challenges, help optimize their prompt strategies, build features that address their pain points, and ensure our service reliably delivers value. We're looking for someone who combines software engineering excellence with genuine curiosity about how customers use AI and a drive to make their lives better.
As a Senior Engineer, you'll drive technical execution within the team, taking ownership of significant features and integrations while mentoring more junior engineers. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and building highly reliable systems in service of solving real customer problems.
This role requires close collaboration with customer success, product managers, external API providers, and other engineering stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment where uptime, reliability, and customer success are critical.
What You'll Do
Solve Customer Problems
- Partner closely with the customer success team to understand customer use cases, challenges, and integration needs
- Translate customer pain points surfaced by the CS team into technical solutions and product improvements
- Build features and tooling that directly address customer needs and improve their workflows
- Provide technical guidance and expertise to the customer success team to help them support customers effectively
Drive Technical Execution
- Own and deliver complete features and integrations within our LLM gateway service
- Build and maintain integrations with multiple LLM providers and AI services (OpenAI, Anthropic, Google Vertex, AWS Bedrock etc.)
- Write clean, maintainable, well-tested code following best practices
- Design and implement scalable, fault-tolerant solutions with appropriate abstractions
- Proactively identify and address technical debt, reliability issues, and code quality concerns
- Participate in on-call rotation to ensure service reliability and rapid incident response
Elevate Engineering Standards
- Conduct thorough code reviews focused on maintainability, testing, reliability, and architectural concerns
- Ensure proper test coverage across unit, integration, and end-to-end testing levels
- Improve code maintainability and extensibility throu
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