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Senior Python Developer Voice AI at Checkmate. We are developing a real-time voice AI platform that combines speech recognition, LLM-driven reasoning, and natural-sounding text-to-speech capabilities. This is production-grade software designed to run continuously, scale under heavy load, and deliver human-like conversations with minimal latency. If you are a seasoned Python engineer who thrives on building resilient systems and solving tough concurrency challenges, this is the role for you. What You’ll Do/Essential Job Functions ● Architect and build the conversation orchestration service: ASR → LLM inference → TTS streaming in real time ● Write robust, asynchronous Python code designed to handle high concurrency without deadlocks, race conditions, or memory leaks ● Design and maintain clean, well-structured APIs for future scalability and ease of debugging ● Manage interaction data using SQL Alchemy (or equivalent) with efficient schema design and safe migrations ● Implement observability: structured logging, metrics, and tracing across the system for instant issue diagnosis ● Partner with ML and Product teams to rapidly iterate on conversation flow and user experience ● Enforce a strong testing culture: automated unit tests, E2E flows, and load testing ● Build resilient systems capable of handling real-world edge cases like noisy audio, unreliable APIs, and flaky networks ● Continuously profile, optimize, and reduce latency and response times. 100% Remote. Salary $150,000 - $230,000. Deep Python expertise: 5+ years in Python, production systems experience required, context managers, generators, event loops, GIL, and effective use of asyncio . Database fundamentals: data modeling, efficient queries, ORM best practices. Networking & I/O: streaming, backpressure, and resilient design for unreliable networks . Testing discipline: delivering production-ready, validated code . Observability mindset: metrics, logs, and traces are integral to your coding process . Production readiness: You’ve built and supported systems running live at scale.. Company Location: United States.