Senior AI Engineer

🕒 May 29

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 45%

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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LatamCent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

LatamCent is a staffing and recruiting firm that specializes in connecting companies in the USA with top talent from Latin America. They focus on building remote and nearshore teams for various functions including sales, marketing, and IT, leveraging their expertise to help organizations recruit, hire, and retain the top 1% of talent in the region. With a commitment to providing high-quality candidates quickly, LatamCent helps businesses reduce hiring times and costs while enhancing their workforce with skilled professionals.

📋 Description

• Architect and ship LLM-powered pipelines that automate complex multi-step clinical decision workflows end-to-end • Build and maintain back-end services in Python that integrate directly with enterprise health systems (FHIR, HL7, EDI) • Own the quality and reliability of AI outputs through evaluation frameworks, structured outputs, and production monitoring • Drive integrations with external enterprise environments, handling compliance constraints and audit requirements that come with healthcare data • Translate requirements from product and customer success teams into scoped technical solutions, working directly with non-technical stakeholders when needed • Operate across the stack from RAG and document pipelines through to cloud infrastructure and observability tooling

🎯 Requirements

• 5+ years of software engineering experience, with at least 2 years shipping AI/ML systems in production (not research or internal tooling) • Hands-on experience building and deploying LLM applications: prompt engineering, RAG pipelines, fine-tuning, eval harnesses • Strong Python back-end skills: FastAPI, async patterns, typing, pytest • Experience with cloud infrastructure on AWS, GCP, or Azure • Proven ability to work with enterprise integration requirements including compliance, auditability, and security constraints • Comfortable scoping and communicating technical solutions directly with clients or non-technical stakeholders.

🏖️ Benefits

• Competitive — share your expectations when you apply.