A Houston, Texas-based business is seeking a hands-on AI Automation Developer to design and build a secure, read-only AI assistant that helps management understand business information, identify operational exceptions, and answer questions using evidence from company systems. The initial environment is Odoo 17 on Odoo.sh. The engagement begins with a small, defined, paid pilot and will expand based on measurable business value and reliable performance. The ideal candidate is a practical, experienced developer who can build AI assistants grounded in real source data — with deep knowledge of Odoo integrations, APIs, n8n or comparable workflow tools, access controls, and secure data handling.
About This AI Automation Opportunity
Purpose: Build a secure, read-only AI assistant that retrieves, analyses, and explains business information — no record modification or transactions
Value: Help management identify exceptions (zero-price orders, missing BOM, delivery gaps) with answers grounded in source records and data timestamps
Security: Enforce read-only permissions, appropriate user access, and secure handling of all company data throughout the integration
Growth: Successful delivery may lead to broader AI integration, automation, and technical leadership opportunities within the business
Meetings: Must be available during Central Time (CT) business hours for collaboration — flexible remote or hybrid arrangement available
Odoo 17 Platform & Technical Environment
Odoo 17 on Odoo.sh: The primary ERP platform — initial review of existing Odoo capabilities required before recommending additional tools
API Integration: Connect the AI assistant to approved read-only system access or controlled data exports from Odoo
Data Scope: Production, inventory, orders, BOM, cost, delivery commitments, and other operational records
Workflow Tools: n8n or comparable tools (alternatives welcomed with clear reasoning) for building reusable automation integrations
Testing: Known errors, valid records, and unflagged records tested systematically to identify false alarms and missed issues
Why This AI Automation Developer Opportunity in Houston Stands Out: This is a well-structured, practically focused engagement — not a vague AI project. The scope is clearly defined, the pilot is paid, no unpaid custom assessment is required, and the client has a realistic understanding of what AI assistants can and cannot do. For an experienced AI developer with Odoo integration skills and a track record of building working business automations, this is an excellent opportunity to deliver real value, earn competitive compensation, and potentially grow into a longer-term technical leadership role in Houston’s business community.
Position Overview
As an AI Automation Developer for this Houston, TX business, your initial focus is to design and build a secure, read-only AI assistant integrated with their Odoo 17 / Odoo.sh ERP environment. The assistant will enable management to ask plain-language operational questions and receive answers backed by specific source records, data timestamps, and clear distinction between verified findings, incomplete information, and uncertain answers. You will start by reviewing existing Odoo capabilities before recommending additional tools, connect the assistant to approved read-only data access, enforce strict permission controls, and conduct rigorous testing across known errors, valid records, and edge cases. Documentation, user training, and a structured handoff are required deliverables. Ongoing success may lead to broader automation development, system integration, and AI adoption leadership responsibilities.
Initial Responsibilities
Integration & AI Assistant Build
- Review existing Odoo 17 capabilities before recommending additional tools — taking a practical, evidence-based approach to the technology stack rather than defaulting to new platforms unnecessarily.
- Connect the AI assistant to approved read-only system access or controlled exports — ensuring the data pipeline is secure, traceable, and aligned with company data governance requirements from day one.
- Enable plain-language questions with answers supported by source records and data timestamps — building an AI assistant that management can trust because every answer is grounded in verifiable, traceable evidence from company systems.
- Identify exceptions such as zero-price orders, missing BOM or cost information, and delivery commitments unsupported by parts availability or production time — creating real operational value for management from the outset.
- Clearly distinguish verified findings, incomplete information, and uncertain answers — the assistant must be transparent about the certainty and completeness of its responses, never overstating confidence.
Security, Testing & Documentation
- Enforce read-only permissions, appropriate user access, and secure handling of all company data — security and data governance are non-negotiable requirements for this engagement.
- Test known errors, valid records, and unflagged records to identify false alarms and missed issues — conducting systematic QA to ensure the assistant performs reliably before handoff.
- Recheck confirmed issues to verify whether they were corrected — demonstrating the assistant’s ability to track operational improvements over time.
- Document the solution, train designated users, and demonstrate a practical handoff — ensuring the business retains full ownership, understanding, and operational control of the AI assistant post-delivery.
Core Technologies & Tools
Odoo 17
Odoo.sh
n8n
REST APIs
Databases
Access Controls
AI Assistant Dev
Business Intelligence
Required Qualifications
- Demonstrated experience personally building and supporting working AI assistants and business automations — not theoretical knowledge, but actual live deployments that you can walk through in a demonstration environment.
- Practical experience with Odoo integrations, reporting, and data structures — Odoo 17 and Odoo.sh experience is strongly preferred and will significantly strengthen your candidacy.
- Experience with APIs, databases, and business applications — the ability to connect AI systems to live or controlled data sources securely and reliably.
- Knowledge of access controls, secure credentials, testing, and troubleshooting — data security and reliable system behaviour are fundamental requirements for this role.
- Ability to ground AI answers in source data and handle missing or conflicting information — understanding how to build AI assistants that are honest about uncertainty rather than hallucinating answers.
- Clear communication, practical employee training, and strong documentation skills — the handoff and user adoption component is as important as the technical build itself.
- Experience with n8n or comparable workflow tools — alternatives are welcomed if supported by clear technical reasoning that demonstrates equivalent capability.
Engagement & Process Notes: Scope, compensation, timeline, access, and acceptance criteria will all be agreed before work begins. Shortlisted candidates will be asked for a live walkthrough of existing work they are authorised to share — an anonymized or demonstration environment is acceptable. No unpaid custom technical assessment is required. All project accounts, repositories, and documentation must remain under company control — ownership and licensing terms agreed upfront. Please provide your proposed pricing approach for a defined paid pilot when applying.
Important: The initial AI assistant will retrieve, analyse, and explain information only. It will NOT modify records, send customer communications, or perform transactions of any kind. The read-only scope is a hard technical and governance requirement of this engagement. All recommendations for expanded capabilities are subject to explicit client approval.
Who Should Apply?
- Odoo 17 Integration Developers: With hands-on Odoo integration, reporting, and data structure experience — ideally on Odoo.sh — who are also building AI-powered query and analysis tools on top of ERP data.
- AI Assistant Builders: Developers who have personally built and deployed working AI assistants in business contexts — able to demonstrate live examples of AI tools grounded in real source data in a walkthrough.
- n8n / Workflow Automation Specialists: Experienced with n8n or comparable workflow tools (Make, Zapier advanced, custom Python pipelines) for building reusable, maintainable business automation integrations.
- Business Intelligence Developers with AI Skills: Professionals who understand operational business data — orders, inventory, BOM, costing, deliveries — and can build AI layers that answer real management questions from this data.
- Houston TX / CT-Zone Available Developers: Remote, hybrid, or on-site developers in Houston or willing to work Central Time hours — with the communication, documentation, and training skills to deliver a professional handoff to business users.
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