Related skills
react java docker aws kubernetes๐ Description
- Write production-quality backend code daily, focusing on LLM features.
- Design and evolve backend architectures for conversational AI and health LLM apps.
- Develop, integrate, and maintain LLM apps, including flows and orchestration.
- Apply prompt engineering to improve response quality, reliability, and safety.
- Optimize LLM systems for latency, concurrency, uptime, and cost.
- Build and maintain APIs and microservices powering web, mobile, and devices.
๐ฏ Requirements
- 5+ years of professional full-stack software engineering experience.
- Strong backend skills using Java (preferred).
- Experience integrating LLMs or conversational AI via APIs (OpenAI, Gemini, Anthropic).
- Familiarity with LLM application patterns (prompt iteration, conversation state, RAG).
- Experience building and operating services on AWS.
- Hands-on experience with microservices, REST APIs, and CI/CD pipelines.
- Familiarity with Docker and Kubernetes in cloud-native environments.
- Ownership mindset and comfort working in a startup environment.
๐ Benefits
- 100% remote work from location of your choice.
- Competitive USD pay.
- Paid time off to recharge.
- Autonomy to manage your time and deliver results.
- Work with leading U.S. companies on high-impact projects.
- Global, diverse team with 25+ countries.
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