Overview
Skills
Job Details
No Corp-to-Corp, No 3rd party firms
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Job Title: Sr Python Backend Engineer
Location: 100% Remote
Employment Type: Direct-hire
Compensation: Up to $190,000 (based on level of experience)
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Partnered with a client who is creating cutting-edge AI/ML products (Generative AI) that solve healthcare staffing issues and administrative burdens using conversational AI and their patented voice biomarker technology.
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They're seeking a skilled Python Backend Engineer to help design, build, and maintain Python microservices powering the conversational AI orchestration (audio capture, streaming transcription, prompt/LLM logic, synthesis, and playback).
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Responsibilities
- Integrate new providers & transports: add plug-ins for emerging ASR, TTS, LLM, and memory services; wire up WebRTC, SIP, or phone endpoints; build adapters that allow hot-swapping components without downtime. Build API endpoints.
- Deliver ultra-low latency (<500 ms round-trip): profile async pipelines (asyncio, FastAPI, gRPC), optimize buffering, concurrency, and back-pressure handling.
- Instrument & observe every hop: emit structured traces (OpenTelemetry), metrics, and logs for each pipeline stage; define SLOs for first-token latency, end-to-end latency, and streaming reliability.
- Harden for production: implement graceful retries, idempotent message passing, circuit breakers, and HIPAA-compliant security (encryption in transit, per-tenant isolation, secrets rotation).
- Collaborate cross-functionally with ML, product, data engineering, and client-SDK teams to deliver features such as voice cloning, multimodal hand-offs, and domain-specific memory retrieval.
Qualifications
- 4+ years building production back-ends in modern Python.
- Proven experience with real-time streaming systems-WebRTC, WebSockets, or gRPC streaming-and proficiency with asyncio, FastAPI, or similar async frameworks.
- Deep understanding of concurrency, buffering, audio codecs (Opus, PCM), and distributed tracing.
- Solid understanding of AWS/Google Cloud Platform/Azure, including container orchestration (Kubernetes/EKS/GKE), message queues (Kafka/SQS/Pub/Sub), and IaC (Terraform).
- Solid grasp of relational (PostgreSQL) and in-memory (Redis) data stores; able to model and persist conversational state.
- Excellent communication skills and a bias for measured, observable, and continuously deployable software.
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Nice to Have
- B.S./M.S. in CS, EE, or related fields.
- Familiarity with voice-agent frameworks,
- Hands-on with telephony (Twilio, Telnyx), SIP, or PSTN integrations.
- Experience integrating multimodal inputs (vision, text chat) into voice agents.
- Familiarity with GPU inference and streaming pipelines.
- Prior work in regulated industries (healthcare, finance) and comfort preparing for SOC 2 / HIPAA audits.
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Why Join?
- Mission-Driven Work: Contribute to technology that improves patient care and transforms healthcare delivery.
- Global Team: Work with a diverse, talented, and supportive team across different regions.
- Flexible Work Environment: Remote-first culture that values work-life balance.
- Growth Opportunities: Be part of a scaling company with room to grow and make an impact.
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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.