Remote Senior Full-Stack AI Engineer — LLMs, RAG, React/TS

BairesDev; United States; Remote; MXN 2,216,000 - 3,323,000; Full time

Benefits offered by this job

Remote work

USD compensation

Home office setup

Flexible hours

Parental leave

Career growth

Job summary

BairesDev offers a fully remote Senior Full Stack AI Engineer role. The engineer will own features end to end, integrating agents and skills, building RAG pipelines, and supporting API services. You will work with LLMs, evaluate via offline evaluation frameworks, and ship robust AI solutions.

Qualified candidates have 5+ years in Python, experience with LangChain/LangGraph/LlamaIndex, AWS, and React/TypeScript, plus exposure to vector search and microservices. A global, remote-first team awaits.

Qualifications

• 5+ years of Python experience.
• Experience with LLM integration and RAG pipelines.
• Experience with LLM evaluation and LangSmith or similar tools.
• Experience with AWS.
• Front-end development with React and TypeScript.
• Experience with vector search and embeddings.

Responsibilities

• Own features end to end including agent and skill integrations, RAG pipelines, and supporting API services.
• Integrate LLMs and build RAG pipelines over structured and unstructured data.
• Evaluate agent behavior using golden datasets and offline evals.
• Build and maintain frontend interfaces using React with TypeScript.
• Collaborate with senior engineers and unblock teammates when needed.

Skills

Python

LLM integration

RAG pipelines

React

TypeScript

AWS

Vector search

CI/CD

English

Tools

Docker

Kubernetes

ECS/EKS

Job description

BairesDev offers a fully remote Senior Full Stack AI Engineer role. The engineer will own features end to end, integrating agents and skills, building RAG pipelines, and supporting API services. You will work with LLMs, evaluate via offline evaluation frameworks, and ship robust AI solutions.

Qualified candidates have 5+ years in Python, experience with LangChain/LangGraph/LlamaIndex, AWS, and React/TypeScript, plus exposure to vector search and microservices. A global, remote-first team awaits.