AI Developer

JOB TITLE: AI Developer (Centralized Operating System / Enterprise Intelligence)

LOCATION: Remote (India-preferred; candidates must align with PST working hours)

WORK HOURS: Full-Time Monday Friday 9:00 AM 5:00 PM PST

COMPENSATION: $2000 $2500 USD / month

Our company is a rapidly growing automated retail innovator operating 500 premium kiosks across 38 states in high-traffic venues. Distributing viral consumer electronics collectibles and trending items we leverage tech-enabled physical infrastructure equipped with cashless telemetry real-time sales tracking and custom operational software.

As an AI-first organization We are building an internal intelligence infrastructure. We are moving beyond standalone bots to architect Alfreda centralized enterprise-wide AI operating system designed to ingest process and reason across all departmental data (Sales Marketing Operations Logistics and Communications) in real time.

We are seeking a hands-on highly pragmatic AI Developer to architect build and continuously refine our core enterprise AI operating system (Alfred).

In this role you will not just write prompts or integrate basic chatbotsyou will build a connected intelligence layer across the entire business. You will construct pipelines that allow AI to ingest and reason over real-time operational metrics vendor APIs Google Chat conversations emails CRM data and internal documentation.

This role is ideal for a builder-first software engineer who views AI as a foundational technology layer possesses strong systems-thinking capabilities and excels at turning high-level business needs into reliable production code.

• Centralized AI Operating System Development (Alfred):
  • Architect build and deploy a unified AI operating system connecting Sales Marketing Operations Procurement and Communications.
  • Build secure infrastructure for multi-agent workflows contextual retrieval and cross-departmental intelligence sharing.
  • Translate broad business and operational needs into automated AI-driven workflows.
• LLM Engineering & Knowledge Retrieval:
  • Implement Retrieval-Augmented Generation (RAG) architectures to process both structured (databases sales metrics) and unstructured (emails Google Chat logs docs) data.
  • Design robust prompt engineering context window management and orchestration strategies for production LLM systems.
  • Establish evaluation frameworks to ensure high output precision reliability and cost-efficient API/model usage.
• API Integration & Data Pipelines:
  • Build and maintain integrations with Google Workspace (Gmail Google Chat APIs) POS platforms vending management systems and third-party vendor APIs (including manufacturer/hardware endpoints).
  • Design ETL pipelines to keep the central AI context continuously updated without manual intervention.
  • Develop webhooks RESTful endpoints and automated data synchronization between disparate internal dashboards.
• Operations & Workflow Automation:
  • Identify manual operational bottlenecks (e.g. dispatching field technicians updating CRM records tracking stock anomalies) and replace them with automated AI workflows.
  • Build decision-support tools that allow team members and leadership to query company context in natural language and receive real-time answers.
• Security Governance & Monitoring:
  • Implement role-based access control (RBAC) authentication and authorization so AI agents only access data appropriate for specific workflows.
  • Monitor performance API latency error rates and system output accuracy; debug integration failures swiftly.
  • Document technical architecture pipeline designs and API contracts.

• Experience: 25 years of professional experience in AI development software engineering or automation engineering.
• Core Development Skills: Strong backend programming fundamentals using Python or JavaScript / TypeScript.
• AI & LLM Proficiency:
• Systems Integration: Proven track record of integrating REST APIs webhooks and complex third-party platforms (specifically Google Workspace / Google Cloud APIs).
• Data Management: Solid understanding of relational/SQL databases data pipelines and structuring unstructured data for semantic search.
• Working Hours: Ability to regularly overlap with US Pacific Standard Time (9:00 AM 5:00 PM PST) for team collaboration reviews and operational alignment.
• Mindset: A pragmatic builder who avoids unnecessary complexity takes ownership of end-to-end deliverables and works comfortably with ambiguous requirements.

• Experience developing enterprise RAG systems vector databases and embeddings.
• Experience building multi-agent AI frameworks or autonomous operational agents.
• Direct experience integrating Google Workspace APIs (Google Chat Gmail Google Drive).
• Experience connecting AI systems to hardware/telemetry platforms POS APIs or ERP/CRM systems.
• Background in fast-paced startups tech-enabled hardware automated retail or logistics.

• Languages: Python JavaScript / TypeScript
• AI/LLM: OpenAI API Anthropic Claude Gemini Agent Frameworks RAG Architectures Vector DBs
• Integrations: REST APIs Webhooks Google Workspace APIs (Gmail Google Chat) POS & Vending Management APIs
• Data & Cloud: SQL Relational Databases Cloud Infrastructure Git/GitHub
• Environment: Custom Cloud Code Environments Web-based Admin Dashboards

• Direct Impact: Build the core technical intelligence backbone of a 500 location automated retail business.
• Greenfield Architecture: Opportunity to design and scale an enterprise AI system (Alfred) from early stages to full production.
• High Visibility: Work directly across operations sales and leadership functions to solve real-world operational challenges.
• True Autonomy: High degree of ownership over technical stack choices agent pipelines and deployment strategies.

Required Experience:

IC