Full-Stack AI Software Engineer (Python / React)

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26 dni temu

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Full-Stack AI Software Engineer (Python/React) for US HealthTech. Build AI platform. B2B contract, remote (Poland). Requires 4+ yrs exp, Python (FastAPI), React, TypeScript, async, databases, Docker, Git. Fluent English.

Słowa kluczowe

Python React TypeScript FastAPI WebSockets PostgreSQL Docker AI

Skrót przygotowany przez AI na podstawie treści ogłoszenia.

We are seeking experienced Full-Stack Software Engineers (Python / React) to join an innovative project building a conversational Voice AI platform for the US Health

Tech market.

The primary core of this role centers around solid, product-focused Full-Stack engineering (Python & React).

Details

Role: Full-Stack AI Software Engineer (Python / React)

Seniority: Mid / Senior (4+ years of software engineering experience with strong basic to AI)

Engagement Model: B2B Contract, Full-timeWork Model: Remote (Poland-based with flexible overlap for US working hours)

Client Location: US-based

Language: Fluent English (C1 – working language for direct client communication)

Responsibilities

Build high-performance backend microservices in Python (FastAPI/WebSockets) and responsive frontend dashboards for caregivers using React and TypeScript.

Integrate third-party telephony APIs (Twilio/LiveKit) and voice/AI endpoints (OpenAI, STT/TTS services) into system workflows.

Design and maintain backend databases and structured storage mechanisms to support user preferences, conversation logs, and historical context.

Optimize WebSockets and async pipelines for low latency, ensuring adherence to health data security standards (HIPAA compliance).

Requirements

Experience: 4+ years of commercial full-stack software development experience with Python and React/TypeScript.

Core Tech Stack & Ecosystems:

Backend (Primary Focus): Python (FastAPI, WebSockets, AsyncIO), PostgreSQL, Redis

Frontend (Primary Focus): React.js, TypeScript, Tailwind CSS (for administrative & analytics dashboards)AI & Integration (Basic/Foundational Knowledge Only): Practical experience connecting to external LLM APIs (e.g., OpenAI, Claude) and basic awareness of Speech-to-Text / Text-to-Speech integration

Infrastructure & Tooling: Docker, Git, CI/CD, REST APIs, WebSockets, AWS or GCP basicsNice to Have:

Experience with telephony or real-time streaming tools (e.g., Twilio, LiveKit, WebRTC).

Experience in Health

Tech / Med

Tech environments (familiarity with HIPAA / SOC2 standards).