Senior AI/ML Engineer — Production AI Systems Lead

AI Talent Now; San Francisco (CA); Vor Ort; USD 180.000 - 230.000; Vollzeit

Zusammenfassung

AI Talent Now, LLC is seeking a Senior AI/ML Engineer to build the AI systems layer behind this company’s process intelligence platform in a senior capacity. You will own end-to-end AI pipelines, from data retrieval and context construction to model selection, structured extraction, evals, orchestration, quality loops, and monitoring.

The role focuses on turning enterprise data into actionable, measurable AI behavior, ensuring reliability and safety in production environments.

Qualifikationen

• 4-6+ years building production software, ML systems, or applied AI systems.
• Production AI engineering: build reliable, observable AI services and pipelines.
• Hands-on experience turning hosted LLM APIs into product behavior through structured outputs, retrieval and context construction, tool use, or multi-step workflows.
• AI quality ownership: define what good means, build datasets and evaluations, diagnose issues, and ship tests, guardrails, fallbacks.
• AI evaluation and guardrails: experience with golden datasets, LLM-as-judge, human review, regression testing, launch gates, hallucination reduction, and verification.

Aufgaben

• You will own the systems that turn messy enterprise data into structured process intelligence: retrieval, context construction, model/provider selection, structured extraction, evals, orchestration, quality loops, and monitoring.

Kenntnisse

Production AI engineering

LLM integration

Observability

End-to-end pipelines

Tools

Go

Python

PostgreSQL

Docker

Terraform

GitHub

Jobbeschreibung

AI Talent Now, LLC is seeking a Senior AI/ML Engineer to build the AI systems layer behind this company’s process intelligence platform in a senior capacity. You will own end-to-end AI pipelines, from data retrieval and context construction to model selection, structured extraction, evals, orchestration, quality loops, and monitoring.

The role focuses on turning enterprise data into actionable, measurable AI behavior, ensuring reliability and safety in production environments.