Movadex

We are looking for a strong WordPress specialist to support an ongoing web maintenance and platform operations engagement for a large, multi-page organizational website.

This is not a simple landing page or one-time build. The ideal candidate should be comfortable working with an established WordPress ecosystem, maintaining existing functionality, supporting plugin and theme updates, improving site stability, and coordinating with SEO, QA, and project management teams.

The project environment includes WordPress, WP Engine hosting, third-party integrations, technical SEO, privacy and compliance work, cookie consent management, and ongoing website performance improvements. AOM’s RFP specifically highlights WordPress development, WP Engine maintenance, technical SEO, privacy/compliance, CMP implementation, accessibility, and global privacy law compliance as priority areas.

Responsibilities:

• Maintain and improve WordPress website functionality, plugins, themes, and integrations
• Manage WP Engine environments, updates, PHP upgrades, and troubleshooting
• Resolve bugs, performance issues, redirects, and plugin conflicts
• Support technical SEO (metadata, canonicals, schema, Core Web Vitals, crawlability)
• Assist with accessibility improvements and privacy/compliance tasks (GDPR/CCPA, cookie consent)
• Work with reusable components, templates, and third-party integrations
• Communicate technical updates clearly in English

Requirements:

• 4+ years of WordPress experience
• Strong knowledge of custom themes, HTML, CSS, JS, PHP
• Experience with plugin compatibility testing and staging/production environments
• Familiarity with WP Engine or similar hosting
• Understanding of technical SEO basics
• Attention to detail and ability to work safely on production websites
• Good written English

Nice to have:

• Experience with Salesforce, HubSpot, Higher Logic, or similar systems
• Experience with CMP/cookie consent tools
• Knowledge of accessibility standards and privacy compliance
• Experience with large content-heavy or membership websites
• Familiarity with Google Search Console, structured data, and technical SEO audits

Senior AI Engineer / AI Product Architect

Location: Remote
Industry: AI for Engineering, BIM, MEP Design, Industrial Facilities, Life Science

About the Role

We are looking for a Senior AI Engineer / AI Product Architect who has already been involved in building and launching a real AI-based product — not just prototypes, demos, or internal experiments.

This person should have hands-on experience in developing AI systems that solve complex, high-value business or engineering problems and are already used by paying customers or real enterprise users.

For MEPAIA, we are not looking for someone who only knows how to connect an LLM API to a chatbot. We need someone who understands how to build AI-powered workflows, where AI is integrated into a real software product, interacts with complex data, supports decision-making, and automates meaningful parts of professional work.

The ideal candidate has worked on a challenging AI product comparable in complexity to products such as Consigli, Augmenta, Endra AI, or other AI-native engineering, construction, design, automation, robotics, industrial, or enterprise software platforms.

What We Need

We need someone who can help us move from a successful proof-of-concept and early product vision toward a scalable AI product architecture.

The role combines:

• AI system design
• LLM / agentic workflow architecture
• productization of AI features
• integration with complex engineering software and data structures
• evaluation, reliability, and performance of AI outputs
• collaboration with domain experts in MEP, BIM, Revit, and industrial design

This is a senior role for someone who has already seen what it takes to turn AI from “interesting demo” into a product that customers actually use.

Key Responsibilities

• Design and lead the AI architecture for MEPAIA’s next product stages.

• Build AI workflows that translate engineering intent into executable software

  actions.

• Develop AI agents / copilots that can interact with structured engineering data, BIM models, documentation, calculations, and design rules.
• Work with Revit/BIM automation teams to connect AI reasoning with real design execution.
• Define how LLMs, classical algorithms, rule-based engineering logic, retrieval systems, and software automation should work together.
• Build robust evaluation methods for AI-generated outputs.
• Improve reliability, explainability, and repeatability of AI workflows.
• Help define the technical roadmap from MVP toward a future AI Engineer for MEP design.
• Work closely with founders, software engineers, and domain experts to convert MEP engineering knowledge into scalable AI functionality.

• Support technical discussions with investors, strategic partners, and early enterprise customers when needed.

   

  Required Experience

• Proven experience in building an AI-based product that reached real users, customers, or commercial deployment.
• Strong hands-on experience with LLMs, AI agents, RAG systems, tool use, function calling, or similar AI architectures.
• Experience designing AI workflows beyond simple chatbots.
• Strong software engineering background.
• Experience with production-grade systems, not only research notebooks or demos.
• Ability to work with complex domain-specific data and workflows.
• Understanding of how to evaluate AI outputs and reduce hallucinations or unreliable behavior.
• Ability to bridge product, engineering, and business requirements.

• Experience working in a startup, scaleup, or high-velocity product environment.

   

  Strong Plus

  Experience in one or more of the following areas would be highly valuable:

• AEC tech / ConTech / BIM software
• Revit, Autodesk ecosystem, IFC, CAD/BIM data structures
• Spatial AI / 3D reasoning / geometry-aware AI
• Engineering automation
• Robotics, industrial automation, or simulation
• AI for construction, infrastructure, manufacturing, or data centers
• Multi-agent systems
• AI copilots for professional software
• Enterprise SaaS

• Products similar in complexity to Consigli, Augmenta, Endra AI, TestFit, Finch, Hypar, or other AI-driven design platforms

   

  What This Role Is Not
  This is not a role for someone whose main experience is:

• building generic chatbots
• writing prompts only
• experimenting with ChatGPT wrappers
• doing academic ML without product deployment
• creating AI demos that never reached real users

• working only on marketing automation or simple customer-support bots

  We are looking for someone who has helped build serious AI software for serious workflows.

Movadex is a product engineering studio that helps startups design, build, and launch complex digital products. Over the past decade we have partnered with founders and venture-backed companies to build MVPs, scale products, and extend engineering teams.

Role Overview

This is a technical, builder-first role at the intersection of GTM, data, and automation.

Not a campaign manager.
A systems builder.

You’ll own the GTM system end-to-end — from data pipelines and enrichment to outbound automation and CRM workflows.

What You’ll Own

• GTM infrastructure (tools, data, automation, workflows)
• Outbound system: sourcing → enrichment → outreach → CRM
• ICP targeting logic and segmentation
• Automation pipelines for prospecting and outreach
• Experimentation and funnel optimization

• Data quality, integrations, and reporting

   

Key Responsibilities

• Build and maintain the GTM stack (HubSpot, Clay, outbound tools)
• Create scalable workflows for sourcing, enrichment, and outreach
• Connect tools and ensure clean data flows
• Automate processes using no-code/low-code tools and APIs
• Build and optimize outbound engines (email, LinkedIn, sequencing)
• Run experiments and improve funnel performance

• Track pipeline and campaign performance

   

Requirements

• 3+ years in GTM Engineering, Growth, RevOps, or Marketing Ops
• Hands-on with HubSpot, Clay, Apollo, LinkedIn Sales Navigator
• Experience building automation workflows and data pipelines
• Understanding of ICP, segmentation, and targeting logic
• Familiarity with APIs, integrations, and data flows

• Experience with AI tools for GTM is a plus

   

Why This Role Matters

You’ll build the system that turns outbound into a scalable, predictable pipeline — working directly with founders.