Senior AI Builder — Automation & Agent Development
New
Fully remote — India preferred; open to other locales, US Pacific / Eastern business hours required (approx. 4–6 hours daily)Full-TimeSenior
Salary1,500 - 2,500 USD per month
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Job Details
- Languages
- Strong English communication required
- Experience
- 3+ years of software development experience
- Required Skills
- PythonFlaskFastAPILangChain
Requirements
- 3+ years of software development experience with strong Python fundamentals
- Demonstrated experience building AI agents using LangChain, LangGraph, CrewAI, AutoGen, or equivalent frameworks — with a portfolio, GitHub, or demo to show
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalent) at the integration level — not just prompt engineering
- Production-level automation experience with n8n, Make (Integromat), or both — including webhooks, custom modules, and multi-step error handling
- Experience building lightweight backends or APIs (FastAPI, Flask, or equivalent) to support agent infrastructure
- Active AI tool fluency: uses AI tools daily to accelerate their own development work — specific tools and use cases confirmed at screening
- Able to work with US Pacific / Eastern business hour overlap (minimum 4–6 hours per day)
- Exceptional written English: clear, direct, and professional across async communication and documentation
- Experience with voice AI platforms (Vapi, Bland, Retell, or similar) for inbound/outbound call automation
- Familiarity with wellness or healthcare tech platforms: GoHighLevel, Mindbody, Jane App, or equivalent
Responsibilities
- Design and build multi-agent systems for client-facing use cases: lead qualification, appointment management, intake automation, follow-up sequences, and front desk operations
- Develop agents using LangChain, LangGraph, CrewAI, or equivalent frameworks — with a focus on reliability, auditability, and graceful human handoff
- Integrate voice AI capabilities (Vapi, Bland, Retell or similar) for inbound and outbound call automation in fitness and healthcare contexts
- Build and maintain prompt libraries and agent logic that can be reused across client types and scaled into productised offerings
- Build end-to-end workflow automations using n8n, Make (Integromat), or both — connecting CRMs, booking systems, billing tools, and communication platforms
- Integrate with platforms common in the wellness and healthcare stack: GoHighLevel, Mindbody, Jane App, Google Workspace, and standard EHR/scheduling tools
- Design automations that are documented, recoverable, and auditable — meeting the accountability standards the company maintains for all client work
- Identify and eliminate manual bottlenecks in the company's own internal operations as a first proving ground for new agent logic
- Translate company's operational knowledge into structured playbooks that can be productised and scaled across client segments
- Document all builds clearly: system architecture, agent logic, prompt decisions, and failure modes
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