Senior AI Engineer
At a glance
Senior AI Engineering role at LatamCent. Remote, Brazil · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design and deliver LLM pipelines that handle multi-step clinical decision workflows from start to finish
- Build Python back-end services that connect with enterprise health systems and maintain those integrations
- Set up checks and monitoring to keep AI outputs accurate, consistent and reliable in production
- Handle external enterprise integrations while meeting healthcare data compliance and audit requirements
- Turn product and customer success needs into technical plans, working directly with non-technical stakeholders
What you bring
- At least five years in software engineering, including two years delivering AI or machine-learning systems in production
- Hands-on experience deploying LLM applications, including prompt design, retrieval pipelines and evaluation methods
- Strong Python back-end skills, including FastAPI, asynchronous programming, typing and pytest
- Experience with cloud infrastructure on AWS, GCP or Azure, plus enterprise compliance, security and audit needs
Who this fits
This senior role suits an engineer ready to work independently across LLM systems, integrations and cloud infrastructure. It is remote for people in Latin America, with expected overlap with US working hours.
From the employer
The Opportunity
A well-funded AI company in the healthcare infrastructure space is building the engine that automates some of the most complex workflows in health plan operations. This role exists because the product is working and the team needs a senior engineer who can own significant parts of the AI architecture independently. In the first year, you will go from shipping production pipelines to being the person who defines how the company builds LLM-powered systems at scale.
What You'll Own
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
What We're Looking For
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
Nice to Have
Prior work in healthcare systems or HIPAA-governed environments
Experience with FHIR, HL7, or EDI data formats
TypeScript, Next.js, or front-end exposure
Monorepo experience at scale
Tools and Stack
Python, FastAPI, PostgreSQL, Temporal, Redis, AWS (RDS, S3, Bedrock, IAM), Kubernetes, Terraform, Docker, GitHub Actions, Pydantic AI, OpenAI, Google Gemini, OpenTelemetry, Prometheus, Grafana, Sentry, Logfire, PostHog
Details
Location: Remote, Latin America
Time Zone: US overlap expected (confirm window with client)
Salary: Competitive — share your expectations when you apply.
Type: Full-time
Start: ASAP
About the Company
An early-stage AI company automating utilization management and clinical review workflows for health plans, TPAs, and medical management companies. They integrate directly into existing enterprise systems and operate in a regulated environment where accuracy and auditability are non-negotiable. Small, focused team building infrastructure that is already in production at real clients.
How It Works:
Apply below — takes 2 minutes.
Within 5 minutes of applying, you'll receive a phone call from our AI hiring assistant for a quick screening.
If you pass the screening, you'll move into an interview with a LatamCent recruiter.
Top candidates are presented to our client for their interview process.
Top engineering careers Provided by LatamCent.