Senior Backend Developer

Base pay range

$150,000.00 / yr - $180,000.00 / yr

Recruitment Consultant | Data & Software Engineering at Harnham

Senior Backend Python Developer AI Platform

Location : Hybrid (U.S.)

Compensation : $150,000 $180,000 base + equity

About the Company

A fast-growing AI and cloud technology company is developing next-generation conversational intelligence platforms that combine advanced natural language processing (NLP) with modern, scalable cloud infrastructure.

The team is building the intelligent backbone of an AI-powered product that delivers secure, real-time user experiences. As part of its growth, the company is expanding its engineering organization to strengthen backend services, API orchestration, and model integration pipelines.

The Role

The Senior Backend Python Developer will design and build the core backend systems that power real-time AI interactions. Youll be responsible for creating fast, scalable APIs and services that integrate directly with advanced NLP modelsensuring high performance, reliability, and data security.

This role is ideal for an experienced backend engineer who thrives at the intersection of Python engineering, AI integration, and distributed systems, and wants to shape the technical foundation of an emerging AI platform.

Key Responsibilities

• Design & Build APIs : Develop and maintain robust RESTful APIs and WebSocket endpoints using modern Python frameworks such as FastAPI , Flask , or Django .
• Integrate AI Models : Collaborate with AI researchers and data scientists to deploy, scale, and manage NLP models in production environments.
• Manage Data Systems : Architect and maintain a multi-database ecosystem combining SQL , NoSQL (Cosmos DB) , and Redis caching for high-performance data access.
• Orchestrate Real-Time Communication : Implement server-side WebSocket logic for audio stream processing, speech-to-text integration, and AI model routing.
• Ensure Security & Compliance : Apply best practices in authentication (JWT / OAuth), encryption, and secure API design to protect sensitive user data.
• Optimize for Scale : Design and implement systems capable of supporting large-scale, real-time AI workloads with low latency and high reliability.

About You

Bonus Points :

Why Join

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