AI Agent Engineer: Scale LLM-Driven Workflows

Horizontal Talent; Pleasanton (CA); On-site; USD 41,000 - 85,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Horizontal Talent is seeking a hands-on AI engineer for a six-month contract in Pleasanton, CA. You will design, optimize, and scale AI agents that improve planning, allocation, forecasting, pricing, and operational workflows using LLMs and cloud services.

You will build backend services with Python, integrate APIs, and work with GCP BigQuery to enable AI-driven insights while focusing on cost-efficient agent performance and production readiness.

Qualifications

• Strong Python development experience.
• Hands-on experience building or supporting AI agents and agentic workflows.
• Experience working with LLMs and generative AI technologies.
• Familiarity with AI SDKs such as OpenAI, Anthropic, or similar platforms.

Responsibilities

• Design, develop, and enhance AI agents that support business workflows and decision-making.
• Build and maintain agentic workflows that automate processes and improve operational efficiency.
• Integrate large language models and generative AI services into production-ready solutions.
• Create backend services and API integrations using Python.
• Support AI solutions in Google Cloud Platform environments, including BigQuery and related cloud-native tools.
• Work with unstructured data to enable AI-driven insights and workflows.
• Improve agent performance, token usage, and overall cost efficiency.
• Partner with business stakeholders to translate real-world needs into scalable AI solutions.
• Support deployment, monitoring, and ongoing optimization of AI-powered systems.

Skills

Python

AI agents

LLMs

AI SDKs

APIs

GCP

Unstructured data

Agent optimization

Independent problem-solving

Tools

Docker

Job description

Horizontal Talent is seeking a hands-on AI engineer for a six-month contract in Pleasanton, CA. You will design, optimize, and scale AI agents that improve planning, allocation, forecasting, pricing, and operational workflows using LLMs and cloud services.

You will build backend services with Python, integrate APIs, and work with GCP BigQuery to enable AI-driven insights while focusing on cost-efficient agent performance and production readiness.