Staff ML Engineer: Production AI Workflows & Systems

Ellkay, Llc; United States; Hybrid; USD 210,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

401k with matching

Remote work options

Flexible working hours

Parental Leave

Job summary

ELLKAY is seeking a staff-level machine learning engineer who can design, integrate, and operate AI-powered systems across products, data pipelines, APIs, enterprise applications, and workflow engines in production settings.

This role sits at the intersection of machine learning engineering, backend engineering, systems integration, and platform architecture, focusing on production-grade AI workflows that move data across systems and drive measurable business value.

Qualifications

• 10+ years of software or ML engineering with ownership of production systems.
• Strong ML fundamentals: model development, evaluation, deployment, and trade-offs.
• Experience building distributed systems and complex workflows.

Responsibilities

• Design AI-enabled workflows spanning internal and external systems.
• Build pipelines for ingestion, transformation, and model inference.
• Architect reusable components and event-driven services.
• Develop production APIs exposing AI functionality safely.
• Operationalize ML/LLM capabilities with cross-team collaboration.
• Establish reliability, observability, and governance for AI systems.
• Mentor engineers and shape the technical roadmap.

Skills

Python

ML Engineering

Distributed systems

APIs

Java/Go

Education

Degree in computer science or related field

Tools

Airflow

Temporal

Prefect

Kafka / Pub/Sub

AWS CDK

Job description

ELLKAY is seeking a staff-level machine learning engineer who can design, integrate, and operate AI-powered systems across products, data pipelines, APIs, enterprise applications, and workflow engines in production settings.

This role sits at the intersection of machine learning engineering, backend engineering, systems integration, and platform architecture, focusing on production-grade AI workflows that move data across systems and drive measurable business value.