
Full Stack AI Engineer
1 week ago
Location: Remote
Employment Type: Full-time
Experience: 2–4 years
Job OverviewAt SpicyChat, we're on a mission to build the best uncensored role-playing agent in the world , and we're looking for a passionate Full Stack AI Engineer to join our team. Whether you're early in your AI -Engineering career or growing into a mid-senior role, this is a unique opportunity to work hands-on with state-of-the-art LLMs in a fast-paced, supportive environment.
About the RoleThe Full Stack AI Engineer will help us bring AI capabilities into our products. This is a hands-on role for someone who can integrate, deploy, and optimize AI models (open-source or API-based) into real-world applications, without necessarily building them from scratch. You will work across the stack — from frontend integrations to backend pipelines — and collaborate with data teams to analyse experiments and improve performance.
Responsibilities- Integrate AI models (open-source frameworks, hosted APIs, or in-house tools) into production applications using JavaScript/TypeScript and Python .
- Develop end-to-end AI-powered features , including frontend interfaces, backend APIs, and data pipelines.
- Work with SQL and PySpark to analyse experimental results, measure performance, and generate insights.
- Design, test, and refine prompts for large language models (prompt engineering) to achieve desired outputs and improve user experience.
- Collaborate with product, data science, and engineering teams to define requirements and deliver solutions.
- Optimize application performance, scalability, and maintainability.
- Stay updated on AI APIs, frameworks, and integration best practices.
- 2–4 years of professional software engineering experience.
- Proficiency in JavaScript/TypeScript and Python .
- Solid understanding of frontend and backend development principles.
- Strong SQL skills and experience with PySpark or similar big data frameworks.
- Experience integrating pre-trained AI models (e.g., via APIs, Hugging Face, OpenAI, TensorFlow.js, or similar).
- Familiarity with REST and GraphQL APIs.
- Strong debugging and problem-solving skills.
- You have an open-minded approach to content and are comfortable dealing with NSFW elements while upholding our ethos of user privacy and safety.
- Experience with prompt engineering and fine-tuning for different AI use cases.
- Experience with cloud platforms (AWS, GCP, Azure).
- Familiarity with data visualisation tools (e.g., Plotly, Tableau, Superset, Databricks).
- Experience with CI/CD and containerization (Docker, Kubernetes).
- Remote-first: Work from anywhere in the world.
- Flexible hours: Create a schedule that fits your life.
- Unlimited leave: Take the time you need to rest and recharge.
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