This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of features from the user interface (React/Next.js) to API design (Node.js/NestJS) and cloud deployment.

• Collaborate with Product Owners and Subject Matter Experts to convert requirements into delivered solutions.

• Provide product ideas that enhance usability, performance, and overall business impact.

• Design and develop multi-agent systems where autonomous AI agents work together to tackle complex, real-world challenges.

• Architect and execute RAG pipelines utilizing vector databases and LLM orchestration frameworks.

• Transition AI-powered features from prototypes to production, managing model serving, latency optimization, cost efficiency, and system reliability.

• Employ AI SDK, LangGraph/LangChain, CrewAI, or similar tools to construct and manage AI workflows.

• Design, implement, and oversee scalable systems on AWS, GCP, or Azure.

• Utilize cloud-agnostic principles and grasp fundamental concepts irrespective of the provider.

⛳️ Requirements

• 3-5+ years of professional experience in developing production applications using React/Next.js, Node.js/NestJS, and PostgreSQL.

• Practical experience with at least one of the following: AI SDK (Vercel), LangGraph/LangChain, or CrewAI.

• Demonstrated success in designing, orchestrating, and deploying multi-agent AI systems in a production environment.

• Experience with vector databases (such as Pinecone, Weaviate, pgvector, or similar) and RAG pipeline design.

• Strong knowledge of AI deployment and system architecture, including model serving, latency optimization, cost management, and production reliability.

• Experience with prompt engineering, model selection, and evaluation processes.

• Comprehensive understanding of cloud concepts and services across AWS, GCP, or Azure.

• Proven experience in deploying and managing production workloads on at least one major cloud platform.