AI Fullstack Developer (AI/Node/React)

TL;DR

Senior Fullstack Developer (AI/Node/React): Designing, building, and maintaining high-performance full-stack applications and LLM-powered systems with an accent on modern API development, RAG pipelines, and vector database integration. Focus on architecting agentic applications, ensuring software quality, and mentoring junior developers.

Location: Remote (Mexico)

Company

Encora is a global company providing software and digital engineering solutions across various domains including AI & LLM Engineering.

What you will do

• Design, build, and maintain high-performance full-stack applications using Node.js, React, and TypeScript.
• Architect and implement LLM-powered and agentic applications from prototyping to production.
• Develop scalable RESTful and GraphQL APIs, integrating various data sources.
• Implement RAG pipelines, including embedding generation, context retrieval, prompt engineering, and tool execution.
• Integrate vector databases (e.g., pgvector, Pinecone) to support semantic search and knowledge retrieval.
• Collaborate with product, design, and data teams to ship well-architected solutions at speed.
• Ensure software quality through testing, performance tuning, and best-in-class development practices.
• Mentor junior developers and participate in code reviews to maintain technical excellence.

Requirements

• 6+ years of professional experience as a Full-Stack Developer.
• Strong proficiency in JavaScript and TypeScript.
• Expert-level experience with Node.js (backend) and React.js (frontend).
• Hands-on experience designing and shipping LLM-powered or agentic applications in production.
• Deep practical experience with RAG patterns, including embeddings, prompt design, context management, and tool calling.
• Experience working with vector databases such as pgvector, Pinecone, Weaviate, or Qdrant.
• Proficiency with at least one agent/orchestration framework (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen, or OpenAI Assistants).
• Experience integrating with cloud AI platforms such as AWS Bedrock or Azure OpenAI.

Nice to have

• Experience with containerization and cloud infrastructure (Docker, Kubernetes, AWS, GCP, Azure).
• Familiarity with CI/CD pipelines and modern DevOps practices.
• Background in distributed systems, data engineering, or machine learning concepts.

Culture & Benefits

• High-impact position to design, develop, and deploy advanced full-stack features and intelligent systems.
• Opportunity to collaborate with product, design, and data teams.
• Emphasis on software quality through testing, performance tuning, and best-in-class development practices.
• Commitment to hiring based solely on skills, without discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.