AI Engineer - Remote

- Design and develop scalable AI/LLM-powered applications for production environments.
- Architect and optimize RAG pipelines including chunking strategies, embeddings, vector databases, and retrieval mechanisms.
- Build backend services and APIs using Python and Node.js/TypeScript.
- Develop and maintain distributed systems, workflow orchestration, and state management solutions for AI applications.
- Design robust RESTful APIs with best practices including versioning, pagination, idempotency, SSE streaming, and OpenAPI documentation.
- Deploy, serve, and optimize LLM inference systems using tools such as vLLM, liteLLM, TGI, SGLang, or Ray Serve.
- Implement monitoring, evaluation, logging, model versioning, and deployment pipelines for production ML systems.
- Collaborate with product, engineering, and infrastructure teams to deliver high-quality AI solutions.
- Utilize AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms to improve development productivity.

- 5+ years full-stack experience, with 2+ years building LLM/AI applications in production.
- Proven experience architecting RAG systems: chunking, embeddings, vector stores, retrieval strategies.
- Strong proficiency in Python for AI/ML workloads and TypeScript/Node.js for full-stack development.
- Deep understanding of distributed systems, state management, and workflow orchestration.
- Strong REST API design skills: versioning, pagination, idempotency, streaming (SSE), and schema-first documentation (OpenAPI).
- Hands-on experience serving LLMs in production with vLLM, liteLLM, or comparable stacks (TGI, SGLang, Ray Serve).
- Experience with production ML systems: monitoring, evaluation, versioning, and deployment.
- Proficiency with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or similar).

- Receive 100% salary from the onboarding date.
- Participate in company activities: Teambuilding, travel and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.