Odoo + AI / LLM Engineer (RAG, Agents, Integrations)

GW Design & Distribution INC


Date: 19 hours ago
City: Faisalabad
Contract type: Full time

About GW Products

GW Products is a fast-growing B2B trade hub powering brands, distributors, and retailers across North America with an AI-driven ERP and marketplace ecosystem built on Odoo. We’re modernizing wholesale distribution with a connected platform that automates compliance, logistics, order flows, real-time analytics, AI assistants, marketplace features, and more , serving thousands of partners nationwide.

As part of our engineering team, you’ll help build next-generation ERP capabilities using Odoo and cutting-edge AI technologies (LLMs, RAG, intelligent agents) to redefine commerce systems at scale.

What You’ll Do

As an Odoo + AI / LLM Engineer, you will:

Develop & Enhance Odoo Modules

  • Design, develop, and maintain custom Odoo modules tailored for marketplace, logistics, compliance, and AI-driven workflows.
  • Extend core Odoo functionality with scalable Python code, ORM enhancements, REST APIs, and efficient backend services.

Build AI-Powered Features

  • Integrate large language models and retrieval-augmented generation (RAG) pipelines into Odoo workflows.
  • Build and maintain intelligent AI agents that automate internal processes (e.g., intelligent assistants for support, compliance, insights).
  • Implement conversational interfaces, knowledge retrieval systems, and LLM-powered automation within the ERP ecosystem.

Integrations & Services

  • Create robust integrations with external systems (3PL/4PL logistics, payment gateways, data sources, analytics systems, AI services).
  • Ensure secure and efficient webhook, API, and asynchronous patterns for real-time operations.

Optimize & Innovate

  • Collaborate with product, data, and DevOps teams to optimize Odoo architecture, performance, and deployment workflows.
  • Be proactive in researching and adopting new AI/ML and automation technologies that bring measurable value.

Ownership & Impact

  • Deliver clean, tested, and production-ready code with strong quality standards.
  • Help shape the technical direction of the AI + ERP integration layer for a marketplace platform used globally.

Required Skills & Experience

  • Strong Odoo background (v14–v18 preferred) with proven experience building custom modules and workflows.
  • Python expert with deep understanding of Odoo ORM, APIs, and backend architecture.
  • Experience integrating external APIs, webhooks, async queues, and third-party services.
  • Practical experience using LLMs, RAG systems, or AI agent frameworks in production.
  • Comfortable with PostgreSQL, performance tuning, and scalable backend design.
  • Strong problem-solving ability with a proactive mindset.
  • Excellent collaboration skills across distributed teams.

Nice-to-Have

  • Familiarity with frameworks like LangChain, LlamaIndex, or similar for RAG/Agent systems.
  • Hands-on experience deploying LLMs and AI workflows in cloud environments.
  • Previous work on marketplace platforms, logistics/ERP systems, or high-growth SaaS products.

Why You’ll Love Working with Us

  • Global Impact: Build technologies powering marketplaces and wholesale ERP used across the USA, EU, UAE, and beyond. gwproductsusa.com
  • Cutting-Edge Stack: Work at the intersection of Odoo + AI + Marketplace systems, shaping real product outcomes.
  • Remote & Flexible: Work from anywhere — we value impact, not location.
  • Fast-Moving Team: Small teams, big opportunities, rapid delivery cycles.
  • Autonomy & Ownership: Your ideas and code ship fast into production.

How to Apply

Send your CV with:

  • Examples of Odoo projects you built or contributed to
  • Brief descriptions of AI/LLM integrations or systems you worked on
  • Links to GitHub/portfolio if available

Apply via our careers page at https://www.gwproductsusa.com/jobs/odoo-ai-llm-engineer-rag-agents-integrations-160 or email to [email protected] with subject: “Odoo + AI/LLM Engineer – [Your City, Country]”

Job Type: Full-time

Work Location: Remote

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