Artificial Intelligence Engineer

buscojobs Brasil; Campo Grande; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company is seeking an AI Engineer to build backend features for a Retrieval-Augmented Generation (RAG) service. The ideal candidate will have strong Python development skills and experience in search technology. This role requires collaboration with DevOps and a focus on optimizing RAG models for large-scale documents. The position is fully remote and offered as a 10-month contract.

Qualificações

• 1+ years of experience as a Search Engineer or AI Engineer.
• Familiarity with LangChain for building LLM workflows.
• Ability to work full-time hours on a contract basis.

Responsabilidades

• Build backend features for an existing Retrieval-Augmented Generation (RAG) service.
• Collaborate with DevOps for production rollout; deployments to non-prod environments.

Conhecimentos

Search Technology Experience – OpenSearch

2+ years of Python development experience

Strong communication skills

Descrição da oferta de emprego

Job Title

AI Engineer (Search Engine)

About the Company

Insight Global's Client

Type

10 month extending contract

Compensation

Shared upon initial WhatsApp screening call

Location

Fully Remote

Working Hours

10AM - 6PM BRT (9AM-5PM EST)

Interview Process

Immediate interviews available — 2 rounds can close by end of next week.

Responsibilities

• Build backend features for an existing Retrieval-Augmented Generation (RAG) service.
• Work on semantic chunking strategies, improve automated evaluation pipeline, and fine-tune LLMs for textual RAG use cases.
• Collaborate with DevOps for production rollout; deployments to non-prod environments.
• Hands-on experimentation, model development, and backend engineering; strong communication and collaboration with the team.

Requirements

• Ability to work full-time hours on a contract basis (10AM - 6PM BRT)
• Strong communication skills
• CLT ONLY (This cannot change to PJ)
• No health benefits provided in CLT benefits
• Needs to be able to start within 2-3 weeks
• Paid on a monthly basis, no overtime

Must-Haves

• 1+ years of experience as a Search Engineer or AI Engineer
• Search Technology Experience – OpenSearch, building scalable search systems
• 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
• Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
• Strong communication skills – able to work independently while providing clear updates to the team

Nice to Have Skills

• Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
• Exposure to RAG architectures, specifically textual RAG use cases

Project Overview

We are hiring one AI / LLM Engineer (1 Mid-Level) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. Your primary focus will be building and optimizing RAG models for search across large-scale medical and scientific documents, including pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate. You’ll work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. The role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout. While this is a heads-down, individual contributor role, strong communication and collaboration with the team are essential.