Artificial Intelligence Engineer

buscojobs Brasil; Espumoso; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology firm is seeking a Mid-Level AI Engineer for a fully remote role focused on building and optimizing Retrieval-Augmented Generation (RAG) models for large-scale medical documents. Candidates should have over 1 year of AI or Search Engineering experience and strong Python skills. This contract position offers a structured working schedule with effective communication as a key requirement.

Qualificações

• 1+ years of experience as a Search Engineer or AI Engineer.
• 2+ years of Python development experience, including API creation and model training.
• Ability to work full-time hours on a contract basis.

Responsabilidades

• Build backend features for an existing Retrieval-Augmented Generation (RAG) service.
• Optimize RAG models for search across medical and scientific documents.
• Conduct hands-on experimentation and collaborate with DevOps.

Conhecimentos

Search Engineer experience

OpenSearch knowledge

Python development

LangChain familiarity

Strong communication skills

Ferramentas

AWS

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.

Project Overview

We are hiring one AI / LLM Engineers (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.

Responsibilities

• Build backend features for an existing Retrieval-Augmented Generation (RAG) service.
• Build and optimize RAG models for search across medical and scientific documents.
• Handle pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
• Work on semantic chunking strategies, improve the automated evaluation pipeline, and fine-tune LLMs for textual RAG use cases.
• Conduct hands-on experimentation, model development, and backend engineering with deployments to non-prod environments; collaborate with DevOps for production rollout.
• Communicate effectively with the team and contribute as an independent contributor as needed.

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 providd 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