Artificial Intelligence Engineer

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

Resumo da oferta

A leading technology company is seeking an AI Engineer (Search Engine) to join their team fully remotely. You will focus on building and optimizing Retrieval-Augmented Generation models for large-scale medical documents. Key qualifications include 1+ years in AI Engineering and strong Python skills. The role requires effective communication and the ability to work independently. Immediate start is expected.

Qualificações

• 1+ years of experience as a Search Engineer or AI Engineer.
• 2+ years of Python development experience, including API creation and model training.
• Strong communication skills and the ability to work independently.

Responsabilidades

• Join a small, focused team building backend features for an existing Retrieval-Augmented Generation service.
• Build and optimize RAG models for search across large-scale medical documents.
• Collaborate with the team to ensure clear updates and effective communication.

Conhecimentos

Search Technology Experience – OpenSearch

Python development experience

Familiarity with LangChain

Strong communication skills

Ferramentas

AWS infrastructure (IAM, VPC, S3)

Descrição da oferta de emprego

Overview

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

• Join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service.
• Build and optimize 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.
• Develop semantic chunking strategies, improve the automated evaluation pipeline, and fine-tune LLMs for textual RAG use cases.
• Perform hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
• Collaborate with the team to ensure clear updates and effective communication while working as an individual contributor.

Qualifications

• 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.