Engineering, Voice AI
€85k - €160k • Remote • Berlin • FullTime
Posted 4mo ago
About the job
Telli is building the future of customer conversations by enabling businesses to deploy AI voice agents at scale. We are solving the challenges that arise from this shift, allowing companies to provide natural, efficient, and outcome-driven interactions. Our platform helps businesses build, deploy, and improve consumer-facing AI voice agents, aiming to become a leader in this rapidly growing software category. We are an AI-pilled team that thrives on solving hard problems, moving fast, and leveraging AI capabilities to drive innovation. We value ownership, humility, and a low-ego culture.
Responsibilities
- Own projects end-to-end, making core product and technical decisions.
- Push frontier AI models to their limits.
- Ensure voice AI is fast, reliable, and high-quality.
- Develop RAG systems using SQLite artifacts.
- Optimize LLM racing for speed.
- Implement shadow testing for new transcribers.
- Improve voice agent response speed without sacrificing quality.
- Enhance the debuggability of voice calls.
- Extend agent capabilities to handle multi-channel communication (e.g., WhatsApp, email).
- Enable agents to select the appropriate communication channel.
- Share memory, tools, and state across real-time and asynchronous conversations.
- Develop a distributed call scheduler to manage load and prevent race conditions.
- Handle complex scheduling requirements including time zones, retries, and provider limits.
- Ensure system resilience during failures of individual components or providers.
- Develop agent memory persistence and access mechanisms for multi-interaction reasoning.
- Enhance AI coworker capabilities for building, configuring, debugging, and improving agents.
- Integrate AI coworker with various communication platforms (app, Slack, Teams, ChatGPT, Claude).
- Make AI coworker actions token-efficient, traceable, and understandable.
- Enable AI coworker to leverage customer context for proactive suggestions.
- Transform plain-language goals into business KPIs using AI.
- Provide AI-driven explanations for metric changes and trace them to specific calls.
- Surface trends, regressions, and opportunities automatically.
- Connect voice agents to external systems like CRMs, calendars, and WhatsApp.
- Build workflows that support waiting, retrying, and resuming operations.
- Enable AI to inspect failures, explain causes, and suggest fixes.
Requirements
- Experience building and owning distributed systems in production.
- Strong software fundamentals.
- Ability to quickly learn unfamiliar domains.
- Bias towards action and hands-on problem-solving.
- Proactive and self-directed approach to problem-solving.
- Willingness to challenge the status quo and understand problems deeply.
- Excitement about agentic coding with an awareness of quality.
- Team player mentality, optimizing for organizational output.