AI Applications Engineer

Key Responsibilities

Develop and maintain AI application backend services using Go / Golang.

Integrate and maintain different AI Providers, including LLM, image generation, video generation and multimodal models.

Develop unified interfaces and provider adapters for different AI models.

Build AI generation workflows, including task creation, parameter validation, model calls, status tracking, polling, retries and cancellation.

Develop RESTful APIs,

services and SSE streaming features.

Support model configuration, provider routing and channel management.

Integrate AI generation functions with projects, media libraries, credits and billing modules.

Write tests, improve logging and error handling, and troubleshoot technical issues.

Requirements

Bachelor's degree or above in Computer Science, Software Engineering or a related field.

1-5 years of backend development experience. Strong fresh graduates with relevant projects may also be considered.

Proficient in Go / Golang, with knowledge of Goroutines, Channels, Context,

JSON and basic concurrency.

Experience developing RESTful APIs.

Familiarity with MySQL / PostgreSQL. Knowledge of Redis, message queues or object storage is a plus.

Ability to read third-party API documentation and implement API integration, parameter conversion and response handling.

Strong problem-solving and debugging skills.

Strong interest in AI / LLM / AIGC technologies. Relevant project or API integration experience is an advantage.

Preferred Skills

Experience with AI APIs such as OpenAI, Claude, Gemini, DeepSeek, Qwen, Doubao, Zhipu or MiniMax.

Experience integrating AI image or video generation APIs.

Knowledge of SSE / WebSocket.

Experience with asynchronous tasks, workers, webhooks or polling mechanisms.

Familiarity with LiteLLM, OneAPI, NewAPI or similar AI gateway platforms.

Familiarity with Docker, Git and Linux.

Experience in AI, AIGC, SaaS or related product development.

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