AI Automation Engineer (LLM & Agentic Workflows)

We are seeking an experienced AI Automation Engineer specializing in Large Language Models (LLMs) and agentic workflows to join our team. In this role, you will design, build, and deploy AI-driven agents that enhance lead qualification, inbound response, account research, personalized outreach, and sales pipeline management. Your work will focus on automating marketing operations, content workflows, SEO, lead scoring, and account enrichment to drive efficiency across multiple teams.

Key Responsibilities

- Develop and deploy AI agents tailored for sales and marketing functions, including lead qualification and personalized outreach.
- Automate various marketing and operational workflows such as content creation, SEO optimization, lead scoring, and account enrichment.
- Build custom MCP servers and integrate APIs to connect platforms like HubSpot and Google Workspace.
- Design and maintain robust data pipelines and warehouses using technologies such as BigQuery, Snowflake, or Databricks.
- Implement AI evaluation frameworks, quality assurance processes, human-in-the-loop reviews, and performance monitoring to ensure reliable and accurate outputs.
- Automate customer success reporting, account health monitoring, and recurring operational tasks to improve team productivity.
- Collaborate closely with leadership to identify high-impact automation opportunities, measure outcomes, and promote AI adoption across departments.

Required Qualifications

- Strong software engineering background with hands-on production experience in Python or TypeScript and proficiency in SQL.
- Minimum of 2 years of practical experience working with Large Language Models (LLMs).
- At least 1 year of experience deploying and maintaining agentic AI workflows integrated into daily business operations.
- Familiarity with Claude, MCP servers, API development, and AI evaluation frameworks.
- Practical experience managing data platforms such as BigQuery, Snowflake, or Databricks.
- Solid understanding of marketing, sales, CRM, and go-to-market (GTM) processes.
- Excellent English communication skills and availability to work during US Eastern Time business hours.

Preferred Qualifications

- Experience with AI workflow orchestration and enrichment tools such as n8n, Make, Zapier, or Clay is highly desirable.
- Candidates who understand how marketing, sales, and customer success teams operate and can translate those needs into efficient AI workflows will be a strong fit.

If you are passionate about leveraging AI to streamline business processes and have a proven track record in building production-ready AI automation solutions, we encourage you to apply with an updated CV highlighting your relevant experience.