Remote Senior AI Engineer - Architect Multi-Agent AI

BairesDev; Distrito Capital; Remote; VES 105,541,000 - 158,311,000; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware and software setup for home

Flexible hours

Paid parental leaves

Multicultural, global team

Job summary

BairesDev is seeking a Senior AI Engineer to contribute to the architecture of an enterprise AI assistant used across multiple business functions. You will stay hands-on in code and shape orchestration design, retrieval strategy, and evaluation approaches for an agentic AI platform.

You will collaborate with distributed engineering teams, work on multi-agent orchestration, tool invocation, and RAG across data sources, with a strong emphasis on Python and React/TypeScript skills.

Qualifications

• Experience in Python.
• Background working on agentic or LLM platforms in production.
• Familiarity with LangChain and LangGraph, including multi-agent orchestration and tool invocation.
• Experience with LLM evaluation strategy, including offline evals or golden dataset design.
• Experience with RAG over structured and unstructured sources.
• Experience with React and TypeScript.
• Experience with distributed systems and REST/GraphQL on AWS.
• Advanced level of English.

Responsibilities

• Contribute to architecture decisions for an enterprise-scale agentic AI platform.
• Help design multi-agent orchestration, including skill invocation and routing.
• Support retrieval strategy across structured and unstructured data sources.
• Help build and evolve the evaluation harness used to validate AI system behavior.
• Collaborate with distributed engineering teams and support technical decisions.

Skills

Python

Agentic/LLM platforms

Multi-agent orchestration

LLM evaluation

RAG

React

TypeScript

Distributed systems

REST/GraphQL

AWS

Advanced English

Tools

LangChain

LangGraph

Pinecone

FAISS

Qdrant

pgvector

REST

GraphQL

Job description

BairesDev is seeking a Senior AI Engineer to contribute to the architecture of an enterprise AI assistant used across multiple business functions. You will stay hands-on in code and shape orchestration design, retrieval strategy, and evaluation approaches for an agentic AI platform.

You will collaborate with distributed engineering teams, work on multi-agent orchestration, tool invocation, and RAG across data sources, with a strong emphasis on Python and React/TypeScript skills.