Generative Ai Engineer

buscojobs Brasil; Espumoso; Teletrabalho; BRL 106.000 - 213.000; Tempo integral

Resumo da oferta

An innovative research platform is seeking an AI Engineer to spearhead the development of core AI intelligence. This role offers the opportunity to design algorithms that enhance academic research efficiency globally. Applicants should possess expertise in semantic search, vector databases, and Python API development. The full-time position includes responsibilities that impact thousands of researchers. Remote applications accepted.

Qualificações

• Strong background in semantic search and vector databases.
• Skilled in Python for backend development.
• Experience deploying systems at scale.

Responsabilidades

• Build and optimize semantic search pipelines.
• Design scalable APIs capable of handling multiple requests.
• Contribute to infrastructure for academic research.

Conhecimentos

Semantic Search

Vector Databases

Prompt Engineering

GenAI Frameworks

Python

Scalable APIs

Descrição da oferta de emprego

Overview

Location: Remote (Applications open worldwide)

Compensation: $20,000 – 40,000 / year (based on experience and scope of ownership)

Skills: Semantic Search, Vector Databases, Prompt Engineering, GenAI Frameworks, React Agents, Graph Agents, Document Parsing, Python, Scalable APIs

About AnswerThis

AnswerThis is an AI-powered research platform built to eliminate the most time-consuming part of academic research: the literature review. We serve researchers globally, from PhD students to academic professionals, helping them go from query to a comprehensive, cited review in minutes.

Our system understands how papers connect, ranks relevance, summarizes insights, and maps citations. This removes weeks of manual work. We are building a vertically integrated AI research suite that streamlines every stage of academic discovery.

If you want to design algorithms that directly accelerate science in medicine, AI, climate, and more, this is the place to do it.

The Role

We are hiring an AI Engineer to lead the development of the core intelligence behind AnswerThis. This role requires deep expertise in information retrieval, scalable backend systems, and generative AI.

You will

• Build and optimize semantic search pipelines, graph-based retrieval, and agentic systems.
• Design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.
• Architect, implement, and productionize vector databases and embedding-based retrieval systems.
• Work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.
• Set up full-stack search engines from scratch that can handle real-world academic workloads.
• Contribute directly to the infrastructure that makes cutting-edge science more efficient.

This is a hands-on role with real ownership. You will move fast, experiment, and ship production systems that impact thousands of researchers worldwide.

Requirements

• Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.
• Skilled in Python for backend development with the ability to build scalable APIs and services.
• Past experience deploying systems at scale, including search engines, retrieval pipelines, or embedding models.
• Ability to design infrastructure that serves hundreds of concurrent requests.
• Experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.
• A research-driven and pragmatic mindset with a focus on measurable outcomes.

Compensation

20,000 – 40,000 / year depending on experience, expertise, and scope of ownership. This is a full-time role with significant responsibility and long-term upside.

How to Apply

Send the following to [e-mail]

Subject: AI Engineer Application

Include:

• Your resume.
• Details of past projects, especially production-level work with search, retrieval, or GenAI pipelines.
• A short note on why you want to design algorithms at AnswerThis.

Applications without these will not be considered.

Let us build the future of research together.