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Claude AI Agent Developer
Location
India
Posted
19 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Claude AI Agent Developer
Berry Virtual
Role Description Legal Soft is hiring a Claude AI Agent Developer to design, build, and deploy a suite of 20 autonomous AI agents that replicate the functions of our Marketing department staff. This is a hands-on engineering role requiring deep proficiency with the Anthropic Claude API, multi-agent system design, and tool-use orchestration. You will work directly with the Head of Marketing to understand each staff role, translate those responsibilities into agent logic, and deliver production-ready agents that automate our marketing operations end-to-end. 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. Qualifications - 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. Requirements - 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). Benefits - Competitive starting rate paid in USD. - Internet Allowance. - HMO insurance (PH). - Paid US holidays. - Paid Vacation and Sick Leaves. System and Work Setup Requirements - A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues. - Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage. - Headset/earphone with noise cancellation and webcam at 720p or higher resolution. - A designated, quiet, and well-organized workspace free from distractions to facilitate focused work. - Permanent remote work setup.
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