Black Rock Group

Compensation

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Job Title: Python Backend Engineer Location: 100% Remote 12+ months of contract Job Description: • We are building a next-generation virtual assistant platform that enables natural and responsive voice and chat-based interactions. The platform integrates with internal and external systems to deliver seamless, real-time user experiences at scale. • As part of our growing team, we re looking for a skilled Python Backend Engineer to help us build reliable, high-performance backend systems. Role Overview: • This role involves developing robust backend services and integrating them into a scalable system architecture. You ll work on a variety of microservices that support voice and chat experiences, as well as contribute to API development, third-party system integrations, and performance optimizations. Key Responsibilities: • Design, develop, and maintain Python-based backend services. • Build and integrate scalable APIs and microservices. • Work with cross-functional teams on system design and backend workflows. • Optimize backend performance using distributed technologies (e.g., caching, message queues). • Collaborate on integration with third-party platforms and services. Qualifications: • 7+ years of Python development experience in production environments • Strong experience building asynchronous, API-driven microservices • Proficiency with scalable backend architectures and system integration • Familiarity with distributed systems (e.g., queues, caching, search indexing) • Bonus: Experience with AI/LLM APIs or interest in learning AI-focused frameworks What We re Looking For: • Strong engineering fundamentals and problem-solving skills • Experience working in agile, cross-functional teams • Solid communication and collaboration skills • Comfort with modern development and deployment tools (e.g., containers, CI/CD) Our Technical Environment Includes: • Modern Python frameworks for asynchronous API development • Distributed systems technologies for caching, data search, and messaging • Containerized infrastructure and cloud-based CI/CD pipelines • Select integration with AI and language model APIs (where relevant)