AI Agent Developer

Role Overview

**Key Responsibilities:**AI Agent Architecture & Development

• Design and build 20 role-specific AI agents using the Anthropic Claude API (claude-sonnet / claude-opus) that replicate the day-to-day tasks of Marketing department staff.
• Implement multi-agent orchestration — defining how agents communicate, hand off tasks, and collaborate across workflows.
• Build tool-use integrations enabling agents to take real actions: querying HubSpot, sending reports, analyzing data, drafting content, and triggering workflows.
• Develop agent memory and state management strategies so agents maintain context across sessions and tasks.

Role Replication & Staff Shadowing

• Interview and shadow current Marketing team members to document their responsibilities, decision logic, and outputs.
• Translate documented workflows into agent system prompts, tool definitions, and behavioral constraints.
• Ensure each agent accurately replicates the quality, tone, and judgment of the staff member it is designed to replace or assist.

Tool & Integration Development

• Build and maintain API integrations between Claude agents and core platforms: HubSpot CRM, internal reporting systems, and communication tools.
• Develop custom tools and function-calling schemas that agents use to retrieve data, execute tasks, and escalate decisions.
• Implement web search and retrieval-augmented generation (RAG) where agents require real-time or document-based knowledge.

Testing, Evaluation & Quality Assurance

• Design evaluation frameworks to measure agent accuracy, task completion rates, and output quality against human-staff benchmarks.
• Identify and mitigate hallucinations, off-task behavior, and edge-case failures across all 20 agents.
• Run structured UAT (user acceptance testing) cycles with Marketing stakeholders before deploying each agent.

Prompt Engineering & Optimization

• Write and iterate on sophisticated system prompts that define each agent’s persona, scope, tools, escalation paths, and output format.
• Benchmark Claude model tiers (Haiku, Sonnet, Opus) per agent to optimize the balance of speed, cost, and reasoning quality.
• Maintain a centralized prompt library and versioning system for all 20 agents.

Deployment & Documentation

• Deploy agents in a scalable, monitored production environment with logging, alerting, and performance dashboards.
• Produce clear technical documentation for each agent: architecture diagrams, tool schemas, prompt rationale, and operational runbooks.
• Train Marketing coordinators on how to interact with, monitor, and escalate issues across the agent suite.

AI Integration & Team Adoption****Owning tool adoption across the team is a non-negotiable part of this role. AI tools that go unused do not count as integrated.

• Build, maintain, and enforce SOPs that embed AI tools into daily, weekly, and monthly marketing workflows for every team member
• Conduct regular audits of tool usage across the team — identify gaps, coach laggards, and escalate blockers
• Create how-to documentation, short training guides, and prompt templates so team members can execute AI tasks independently
• Act as the internal AI marketing resource — evaluating new tools, running pilots, and making adoption recommendations
• Track and report on AI adoption metrics: tasks completed via AI vs. manually, time saved, and output volume
• Coordinate with any technical, IT, or operations stakeholders to ensure AI tools are securely and reliably integrated

Requirements

Must-Have

• 3+ years of software development experience with demonstrated AI/LLM integration work.
• Hands-on experience building applications with the Anthropic Claude API or equivalent LLM APIs (OpenAI, Gemini).
• Strong understanding of agentic AI patterns: tool use, function calling, multi-agent orchestration, memory, and RAG.
• Proficiency in Python and/or JavaScript/Node.js for backend agent development.
• Experience integrating LLM agents with real-world APIs and CRM systems (HubSpot experience a strong plus).
• Ability to independently interpret staff workflows and translate them into agent logic without heavy hand-holding.
• Strong written English communication for documentation and async remote collaboration.

Nice-to-Have

• Experience specifically with the Anthropic SDK and Claude model family.
• Familiarity with LangChain, LlamaIndex, or similar agent orchestration frameworks.
• Background in marketing operations, lead generation, or B2B SaaS environments.
• Experience building RAG pipelines or vector-database integrations.
• Portfolio of deployed AI agents or automation tools (GitHub links or demos strongly encouraged).

Tech Stack

• JavaScript
• Node.js
• Python

Benefits

• Permanent remote work setup
• Competitive starting rate paid in USD
• Internet Allowance
• HMO insurance (PH)
• Paid US holidays
• Paid Vacation and Sick Leaves