Python Developer

Role: Senior Backend Engineer (Python)

• Design, implement, and maintain Python microservices supporting real-time conversational AI pipelines.
• Work on systems including audio capture, streaming transcription, LLM prompt orchestration, speech synthesis, and playback.
• Integrate new ASR, TTS, LLM, and memory service providers into the platform.
• Build APIs and adapters that allow hot-swapping components without downtime.
• Implement streaming transports such as WebRTC, SIP, and telephony endpoints.
• Optimize pipelines to achieve ultra-low latency (<500 ms round-trip).
• Profile and improve async pipelines using asyncio, FastAPI, and gRPC streaming.
• Implement observability using OpenTelemetry, metrics, and structured logging.
• Ensure production reliability through retries, circuit breakers, and idempotent messaging.
• Maintain HIPAA-compliant security, including encryption, tenant isolation, and secrets rotation.
• Collaborate with ML, product, and data engineering teams to develop features like voice cloning, multimodal interactions, and domain memory retrieval.

• 4+ years of experience building production backend systems in Python.
• Strong experience with real-time streaming technologies such as WebRTC, WebSockets, or gRPC.
• Hands-on experience with async frameworks (asyncio, FastAPI, etc.).
• Deep understanding of concurrency, buffering, distributed tracing, and audio codecs (Opus, PCM).
• Experience with cloud platforms (AWS / Google Cloud Platform / Azure).
• Familiarity with container orchestration (Kubernetes, EKS, GKE).
• Experience with message queues (Kafka, SQS, Pub/Sub).
• Knowledge of relational databases (PostgreSQL) and in-memory stores (Redis).
• Strong communication skills and ability to build observable, production-ready systems.

• Degree in Computer Science, Electrical Engineering, or related field.
• Experience with voice-agent frameworks.
• Hands-on experience with telephony platforms (Twilio, Telnyx), SIP, or PSTN integrations.
• Experience integrating multimodal inputs (voice, text, vision) into AI systems.
• Exposure to GPU inference or streaming ML pipelines.
• Prior experience working in regulated industries (healthcare, finance) and familiarity with SOC 2 / HIPAA compliance.

• Competitive benefits package including:
• 401(k) with employer matching
• Health, dental, and vision insurance
• Flexible paid time off