AI Engineer

Blacksmith Agency is seeking an AI Engineer to join their remote team. This role focuses on building and shipping internal automation roadmaps, including production LLM and agent systems that team members use daily. This is a builder role, not research-focused, and requires engineers who have shipped an LLM system to production.

Blacksmith Agency is a digital growth partner focused on predictable, measurable revenue from websites and marketing channels. They help leadership teams replace fragmented efforts with a disciplined, data-driven system for business growth.

If you are looking for a role where you can build agents, workflows, evals, and integrations that directly impact internal operations and drive growth, apply now!

Company Overview

Blacksmith Agency is a digital growth partner for companies seeking predictable, measurable revenue from their website and marketing channels. They specialize in website strategy, design, development, SEO, paid media, and analytics, aiming to support real business growth through a disciplined, data-driven system.

They work best with teams focused on long-term ROI and are intentionally selective, not built for churn, volume, or vanity metrics. Their work sits at the intersection of website strategy, SEO, paid media, and analytics.

Quick Details

• Job Type: Full-time
• Experience: 2 Year+
• Qualifications: Bachelors-degree

Key Responsibilities

• Own and ship the internal automation roadmap, including production LLM and agent systems.
• Build agents and workflows with tool use and function calling on Anthropic and OpenAI.
• Develop Evals to prove changes made things better and guardrails to prevent wrong or unsafe actions.
• Create integrations connecting WordPress, Figma, Google Workspace, Slack, and internal systems.
• Build internal tools to reduce hours in delivery, sales operations, and project management.

Requirements

• 2+ years building production software in Python or TypeScript / Node.js.
• At least one LLM or agent system built and ran in production with real users.
• Hands-on tool use, evals, and failure handling: validating model output, retries, human approval.
• Experience with REST APIs, webhooks, and cloud deployment.
• Strong spoken English for technical discussions with a US team.

Benefits

• Opportunity to build and ship AI systems used daily by a team.
• Work on a builder role focused on practical application rather than research.
• Contribute to a company focused on predictable, measurable revenue and business growth.
• Collaborate with a US-based team on technical decisions.