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A remote Data & ML role at LatamCent. 5+ years of software engineering experience, with at least 2 years shipping AI/ML systems in production (not research or internal tooling)
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Original listing text, shown exactly as published by the company.
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
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
LatamCent
Data & ML
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