Role Overview :

As our Marketing AI Agent Builder, you will be the lead architect for our "agentic" marketing stack. Your goal is to move beyond simple automation (if-this-then-that) toward autonomous systems that reason through marketing data, execute multi-channel campaigns, and self-correct based on performance. This is a "Builder" rolepart Engineer, part Strategist, part Data Scientist.

Core Responsibilities :

- Intelligent Research & Segmentation : Deploy agents to crawl the web for intent signals (hiring changes, funding, news) to dynamically update ICP segments and enrich CRM records in real-time.

- Autonomous Campaign Management : Build agents that independently monitor live campaigns (Search, Social, Email) and autonomously reallocate budgets or pause underperforming creatives based on real-time ROI.

- Dynamic Lead Nurturing : Design agents that use Natural Language Processing (NLP) to "read" prospect behavior and trigger personalized, multi-step nurture sequences without manual intervention.

Qualifications & Skills :

- Experience : 5+ years (senior level) in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.

- AI Tooling : Proficiency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX).

- Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay, Zapier Central, Make.com) or code-based frameworks (e.g., LangGraph, CrewAI).

- Prompt Engineering : Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output.

- Data Savvy : Comfortable working with JSON, APIs, and RAG (Retrieval-Augmented Generation) to feed agents the right context from your companys internal knowledge base.

We are looking for an experienced AI Agent Builder to design and deploy intelligent AI agents that automate and optimize business processes across Marketing, HR, Finance, and Healthcare functions. The ideal candidate will have expertise in building autonomous AI workflows, integrating enterprise systems, and leveraging Generative AI technologies to drive operational efficiency and business growth.

Key Responsibilities :

- Build and deploy AI agents capable of autonomous decision-making, workflow execution, and continuous optimization.

- Design agent-driven solutions for marketing automation, lead nurturing, campaign management, talent acquisition, employee support, financial operations, and healthcare workflows.

- Integrate AI agents with platforms such as Salesforce, HubSpot, Google Analytics, HRMS systems, ERP solutions, and internal knowledge bases.

- Develop RAG-based solutions, prompt frameworks, and guardrails to ensure reliable, secure, and business-aligned outputs.

- Monitor agent performance, establish evaluation frameworks, and implement human-in-the-loop governance where required.

Required Skills :

- Strong experience with AI agent frameworks such as LangGraph, CrewAI, AutoGen, Claude CoWork, or similar platforms.

- Hands-on expertise with automation tools including Clay, Zapier, Make.com, n8n, or equivalent solutions.

- Good understanding of Prompt Engineering, RAG, APIs, JSON, LLM orchestration, and workflow automation.

- Experience building AI solutions for Marketing, HR, Finance, Healthcare, or other enterprise business functions.

- Knowledge of B2B demand generation, business process automation, analytics, and operational workflows.

Preferred Qualifications :

- 8-12 years of experience in Growth Engineering, AI Engineering, Marketing Technology, Enterprise Automation, or related domains.

- Experience working with SaaS, HealthTech, FinTech, HRTech, or enterprise software organizations.

- Strong analytical, problem-solving, and stakeholder management skills.