Senior Full Stack AI Engineer - Remote Work | REF#304063

BairesDev; United States; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

100% remote

USD compensation

Hardware provided

Flexible hours

Parental leave

Diversity & growth

Job summary

BairesDev is seeking a Senior Full Stack AI Engineer to own features end to end, including agent integrations, RAG pipelines, and the API services that power them. You will integrate LLMs and build pipelines over structured and unstructured data, evaluating agent behavior against golden datasets before production.

The role emphasizes frontend work with React and TypeScript, collaboration with senior engineers, and a proactive approach to removing blockers.

Qualifications

• 5+ years of experience in Python.
• Experience with LLM integration and RAG pipelines using LangChain, LangGraph, or LlamaIndex.
• Experience with LLM evaluation, including LangSmith, LLM-as-judge, offline evals, or golden datasets.
• Experience with AWS.
• Working proficiency with React and TypeScript.
• Experience with retrieval over structured and unstructured data.
• Experience integrating agents and skills against internal services.
• Experience with vector search and embedding strategy using Pinecone, FAISS, Qdrant, or pgvector.
• Experience with container orchestration (ECS/EKS) and microservices.
• Strong prompt engineering skills, iterating against measured output.
• Experience with CI/CD and service observability, including logging, tracing, and SLOs.
• Upper-intermediate English proficiency.

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 against golden datasets and offline evaluation frameworks.
• Build and maintain frontend interfaces using React with TypeScript.
• Collaborate closely with a Staff or Principal engineer, surfacing blockers and asking for help proactively.

Skills

Python

LLM integration

RAG pipelines

React

TypeScript

AWS

CI/CD

Observability

English proficiency

Tools

LangChain

LangGraph

LlamaIndex

LangSmith

Pinecone

FAISS

Qdrant

pgvector

ECS/EKS

WebSockets

Bedrock / LiteLLM

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Senior Full Stack AI Engineer at BairesDev

In this role, you'll own features end to end, covering agent and skill integrations, RAG pipelines, and the API services behind them. Evaluating agent behavior against golden datasets rather than shipping on spot checks, you'll bring real rigor to how AI functionality gets validated before it reaches production. This is your opportunity to show clear ownership of your slice of the product, staying vocal about asking for help and unblocking others along the way.

What You'll Do

• 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 against golden datasets and offline evaluation frameworks.
• Build and maintain frontend interfaces using React with TypeScript.
• Collaborate closely with a Staff or Principal engineer, surfacing blockers and asking for help proactively.

What We Are Looking For

• 5+ years of experience in Python.
• Experience with LLM integration and RAG pipelines using LangChain, LangGraph, or LlamaIndex.
• Experience with LLM evaluation, including LangSmith, LLM-as-judge, offline evals, or golden datasets.
• Experience with AWS.
• Working proficiency with React and TypeScript.
• Experience with retrieval over structured and unstructured data.
• Experience integrating agents and skills against internal services.
• Experience with vector search and embedding strategy using Pinecone, FAISS, Qdrant, or pgvector.
• Experience with container orchestration (ECS/EKS) and microservices.
• Strong prompt engineering skills, iterating against measured output.
• Experience with CI/CD and service observability, including logging, tracing, and SLOs.
• Upper-intermediate English proficiency.

Nice To Have

• Experience with MCP server development.
• Familiarity with streaming agent interactions, including LangGraph API and WebSockets.
• Experience with model gateway and routing such as Bedrock or LiteLLM.
• Familiarity with agent-to-agent communication patterns (A2A).
• Security mindset, including secure coding and AuthN/AuthZ practices.
• Analytics and data visualization experience.
• Experience with ServiceNow or ITSM workflow integration.

How We Do Make Your Work (and Your Life) Easier

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!