Cutting-Edge Ai Expert Wanted

Bebeeengineer; São Paulo; Presencial; BRL 107.000; Tempo integral

Resumo da oferta

A technology company seeks an experienced AI Engineer to lead development of an intelligence platform in São Paulo. This hands-on role requires expertise in building scalable APIs, semantic search, and generative AI. The successful candidate will design systems that enhance scientific research in various fields, including medicine and climate. Offering a competitive salary and the chance to work in a dynamic environment, this position promises significant responsibility and a unique opportunity to impact cutting-edge projects.

Serviços

Competitive salary

Significant responsibility

Opportunity to design algorithms for science

Collaborative work environment

Qualificações

• 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.

Responsabilidades

• Build and optimize semantic search pipelines and graph-based retrieval.
• Architect, implement, and productionize vector databases and embedding-based retrieval systems.
• Contribute directly to the infrastructure that makes cutting-edge science more efficient.

Conhecimentos

Semantic search

Vector databases

LLM frameworks

Agent-based systems

Document retrieval

Python

API development

Descrição da oferta de emprego

Job Description

We are seeking an experienced AI Engineer to lead the development of our core intelligence platform. This is a hands‑on role with real ownership, requiring deep expertise in information retrieval, scalable backend systems, and generative AI.

About the Role

• 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.

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.
• Research‑driven and pragmatic mindset with a focus on measurable outcomes.

Benefits

• Competitive salary range: $20,000 / year depending on experience, expertise, and scope of ownership.
• Full‑time role with significant responsibility and long‑term upside.
• A unique opportunity to design algorithms that directly accelerate science in medicine, AI, climate, and more.
• The chance to contribute directly to the infrastructure that makes cutting‑edge science more efficient.
• A collaborative and dynamic work environment with a team of experts in the field.