Senior Data & AI Engineer – AI Agent

Job not on LinkedIn

🕒 August 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Seekerh

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Seekerh is a recruitment and selection consultancy that connects companies with the right professionals through strategic hiring, cultural-fit assessment and rapid, tech-enabled processes. The firm provides tailored recruitment, selection and on-demand talent projects, acting as a strategic partner to support sustainable organizational growth and improved hiring outcomes.

📋 Description

• Develop and evolve complex, specialized AI agents for strategic stages of the data harness, from specification through to exposure • Design orchestration architectures among multiple specialized agents, ensuring performant handoffs, shared context and consistency across the pipeline • Lead the integration of agents into corporate ecosystems and data platforms using the MCP protocol and advanced APIs • Collaborate with multidisciplinary teams in Data Engineering, MLOps and Governance to ensure guardrails are applied and compliance with PII/PCI • Define the technical boundary between “skills” and “agents” within the ecosystem and lead the creation of Architecture Decision Records (ADRs) • Implement observability strategies, log monitoring and quality-control processes for agent behavior in production • Translate complex business requirements and pain points into actionable architectures and structured specifications for AI agents

🎯 Requirements

• Advanced mastery and proven experience in Python for data-oriented applications and API-based architectures • Senior experience in Data Engineering, covering distributed pipelines, ETL/ELT architectures, governance and cataloging • Solid hands-on experience with Large Language Models (LLMs), advanced prompt engineering and methods for evaluating responses • Proficiency with the MCP (Model Context Protocol) or substantial experience in quickly learning and applying new integration protocols • Experience integrating services and corporate APIs in high-complexity environments • Established practice with Git/GitHub, CI/CD pipelines and software engineering best practices • Fluent English for reading and writing technical documentation and using AI tools • Differentials: advanced experience in multi-agent systems and orchestration frameworks such as LangChain, LangGraph, CrewAI or AutoGen • Differentials: hands-on experience with the Databricks platform (Unity Catalog, Databricks Apps, Genie Spaces) or equivalent cloud solutions • Differentials: deep knowledge of MLOps (MLflow), Data Mesh architecture and observability for Generative AI • Differentials: prior involvement in large-scale projects in the financial or payments sector

🏖️ Benefits

• Hiring model can be PJ (independent contractor, no benefits) or CLT (formal employment with benefits)