Senior Agentic AI Architect

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced Lead ML Engineer to architect agentic AI systems and drive production-grade implementations. You will integrate LLMs with external tools, design evaluation frameworks, and collaborate across product, engineering, and research teams.

The role emphasizes mentoring senior engineers, advancing agentic architectures (ReAct, reflection loops), and ensuring safe, scalable deployments in a fast-moving environment.

Qualifications

• BS in Computer Science, Machine Learning, Statistics, Engineering, or related field, or equivalent experience
• 10+ years of related industry experience
• Experience designing and deploying agentic or multi-step AI systems in production or research
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM APIs and orchestration libraries such as LangChain or LlamaIndex
• Experience integrating LLMs with external tools, APIs, and structured data sources
• Understanding of prompt engineering including chain-of-thought, few-shot prompting, and structured output generation
• Experience defining and running ML-system evaluation frameworks, including offline benchmarking and production monitoring
• Experience taking models from prototype to production with ML Engineering teams
• Advanced degree preferred
• Experience in travel or e-commerce preferred
• Publications or patents preferred
• Open-source contributions preferred

Responsibilities

• Design, develop, and evaluate multi-step AI systems with planning and tool use
• Research and implement agentic architecture techniques (ReAct, reflection loops)
• Develop agent orchestration frameworks for task decomposition and recovery
• Integrate LLMs with external tools, APIs, databases, and code execution
• Define evaluation frameworks measuring reliability, latency, cost, and safety
• Collaborate with product, engineering, and research to translate requirements
• Identify and mitigate risks like prompt injection and hallucinations
• Synthesize research to inform technical direction
• Mentor senior ML engineers on agentic design and experimentation

Skills

Agentic AI System Design

Python Proficiency

LLM API Integration

ML System Evaluation

Mentoring

Production Monitoring

Task Decomposition

Tool-Augmented Reasoning

Multi-Agent Collaboration

Education

Bachelor's degree in CS/ML/Engineering

Advanced degree preferred

Tools

PyTorch

TensorFlow

JAX

LangChain

LlamaIndex

APIs

Databases

Code Execution Environments

Job description

Jobtailor is seeking an experienced Lead ML Engineer to architect agentic AI systems and drive production-grade implementations. You will integrate LLMs with external tools, design evaluation frameworks, and collaborate across product, engineering, and research teams.

The role emphasizes mentoring senior engineers, advancing agentic architectures (ReAct, reflection loops), and ensuring safe, scalable deployments in a fast-moving environment.