AI/ML Engineer – Agentic Workflows & Production Systems

Jobtailor; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a Senior Data Scientist/ML Engineer to own orchestration frameworks and design production-grade agent architectures for AI-based workflows in the U.S. You will integrate LLM APIs, ensure data quality with governance, and collaborate across data science and engineering teams.

The role requires deep experience in software/ML engineering, strong communication skills, and the ability to operate in a fast-paced, regulated environment with a focus on cost and reliability.

Qualifications

• Degree in CS/Software Engineering/ML or related field.
• 8+ years with Bachelor's or 7+ years with Master's in software/ML engineering (healthcare/pharma a plus).
• Experience with agentic frameworks such as LangGraph or Pydantic AI and LLM API integration.

Responsibilities

• Own orchestration frameworks and agent architecture for AI-based workflows.
• Build and harden agentic workflows for production use.
• Design prompt architecture and tool/API integrations across agentic systems.
• Translate the Senior Data Scientist's methodology into deployed, production-grade agents.
• Partner with Data Engineer to ensure agents consume clean, well-structured data.
• Partner with Senior Data Analyst to meet governance, audit, and compliance needs.
• Implement monitoring, evaluation, and cost controls for LLM-based systems in production.
• Document agent architecture, prompt design, and tool integrations to support governance and audit needs.
• Identify opportunities to improve workflow reliability, latency, and cost.

Skills

Agentic Frameworks

LLM API Integration

MLOps Practices

Production System Design

Software Engineering

Machine Learning

Effective English Communication

Education

Bachelor's degree in CS/Software/ML or related

Master's degree preferred

Tools

LangGraph

Pydantic AI

Data Governance Tools

Monitoring Tools

Job description

Jobtailor is seeking a Senior Data Scientist/ML Engineer to own orchestration frameworks and design production-grade agent architectures for AI-based workflows in the U.S. You will integrate LLM APIs, ensure data quality with governance, and collaborate across data science and engineering teams.

The role requires deep experience in software/ML engineering, strong communication skills, and the ability to operate in a fast-paced, regulated environment with a focus on cost and reliability.