Senior AI Builder — Automation & Agent Development

Senior AI Builder Automation & Agent Development

Build the AI infrastructure that powers a US-based operations and virtual assistant company next chapter from intelligent automations to fully functional AI employees.

Sector

Operations & AI Virtual Assistant / Wellness Tech

Reports To

Founder & CEO

Type

Full-time 40 hours/week

Hours

Overlap with US Pacific / Eastern business hours required (approx. 46 hours daily)

Rate

USD $1500 $2500/month depending on experience and demonstrated output

Location

Fully remote India preferred; open to other locales must be able to work at least EST hours; strong English communication required

Tools

Python LangChain / LangGraph / CrewAI n8n or Make OpenAI / Anthropic APIs GoHighLevel Google Workspace Vapi or similar voice AI (preferred)

Role Overview

US-based operations and virtual assistant company serving wellness and fitness businesses is building the operations infrastructure of the future for fitness wellness and healthcare businesses and this role is at the centre of it. The Senior AI Builder will work directly with the Founder & CEO to design build and iterate on the automations and AI agents that will power client operations internal workflows and eventually a proprietary platform.

This is not a theoretical or strategy-only role. The ideal candidate writes real code ships working agents and takes pride in building things that hold up in production. They understand how a gym front desk works how a med spa onboards a patient and how a wellness business owner thinks and they build AI infrastructure that reflects that operational reality.

Reporting directly to the Founder & CEO this person will be a core builder and thinking partner as the company moves from VA placement agency to AI-augmented operations company.

Key Responsibilities

AI Agent Development

• 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

Automation Architecture

• 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 companys own internal operations as a first proving ground for new agent logic

Playbook & Systems Development

• Translate companys 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

• Work with the Founder & CEO to define the Seamless OS roadmap the lightweight platform layer that will eventually house client-facing automation tools

Client Expansion Support

• Support the build-out of automation infrastructure as the company expands into healthcare and med spa markets including HIPAA-adjacent considerations

• Contribute to scoping calls and solution design conversations where technical expertise is needed to define whats possible for prospective clients

Who Will Succeed in This Role

This role is built for a builder not a theorist. The right person is already deep in the AI agent ecosystem: they have GitHub repos or demo videos they follow the LangChain and n8n communities and theyve shipped things that broke and then fixed them. They are comfortable working in ambiguity moving fast and communicating clearly with a non-technical founder.

You will thrive here if you:

• Get energised by solving real operational problems not just building impressive demos

• Can explain complex technical decisions in plain language to a business founder

• Take ownership of your work and follow through without needing daily direction

• Care about the quality and reliability of what you build not just whether it technically works

• Are curious about the fitness wellness and healthcare industries and motivated to build for them

• Are comfortable in a lean founder-led environment where your output directly shapes the companys direction

Experience & Skills

Required

• 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 46 hours per day)

• Exceptional written English: clear direct and professional across async communication and documentation

Preferred

• 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

• Understanding of HIPAA compliance considerations for healthcare-adjacent automation

• Prior experience working with a small team or founder-led company comfortable with lean fast-moving environments

• Has built or contributed to a productised AI tool SaaS prototype or internal operations platform

• Familiarity with data pipeline basics: logging error monitoring observability for agent systems