$150K - 230K a year
Architect and build the conversation orchestration service for a voice AI platform. Write robust, asynchronous Python code to handle high concurrency and ensure system resilience.
Deep Python expertise with 5+ years in production systems is required. Candidates should also have strong database fundamentals and a solid understanding of networking and I/O.
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. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan
This job posting was last updated on 10/7/2025