Workeron.ai

Joined in 2026

We are an AI transformation agency that designs and builds practical .AI solutions for businesses - from strategy and discovery to production delivery. Our focus is on AI agents, LLM-powered automations, data-to-insight systems, and custom apps that improve efficiency, revenue, and decision-making.

 

what we building

 

  • AI agents for customer support and social inbox (Instagram/Facebook/Telegram/LINE)
  • AI analytics layer on top of BI (Power BI / BigQuery / PostgreSQL) for anomaly detection, daily insights, and role-based explanations
  • Content automation systems (trend detection -> video repurposing -> brand overlay -> scheduling/publishing)
  • Internal copilots for operations, sales, and reporting (CRM, docs, approvals, workflows)
  • Rapid PoC-to-MVP delivery: 1-2 week PoCs, scalable MVPs with monitoring and governance

 

who we're looking for 

A senior delivery team combining product + engineering + AI:

 

  • CTO / Solution Architect - system design, AI architecture, delivery leadership
  • AI/ML Engineer - agent workflows, LLM integrations, evaluation, safety
  • Full-stack Engineer - web apps, dashboards, integrations
  • Automation Engineer (Make/n8n) - workflows, connectors, reliability
  • Data Engineer (as needed) - pipelines, warehouses, BI connectivity

 

  • · 49 views · 5 applications · 1d

    AI Low-Code Developer (Rapid Prototyping + Fast MVP Delivery) to $2200

    Full Remote · Worldwide · 3 years of experience · English - None
    Mission of the Role To quickly and reliably create prototypes and MVPs (web apps, internal tools, AI agents workflows), using low-code/no-code and AI-assisted development, bringing them to deployment, monitoring, and clear support. Key Tasks Quickly...

    Mission of the Role

     

    To quickly and reliably create prototypes and MVPs (web apps, internal tools, AI agents workflows), using low-code/no-code and AI-assisted development, bringing them to deployment, monitoring, and clear support.

     

    Key Tasks

    • Quickly assemble prototypes and MVPs: UI, logic, integrations, data storage, authorization, basic analytics.
    • Make AI-assisted coding the standard: code generation, refactoring, tests, documentation, development acceleration.
    • Translate business needs into requirements: user flows, roles, edge cases, constraints, acceptance criteria.
    • Integrate external services: CRM, payments, email/SMS, messengers, webhooks, partner APIs.
    • Design a simple but correct MVP architecture: so it doesn't fall apart under the first load.
    • Set up deployment and environments: dev/stage/prod, secrets, domains, SSL, basic CI/CD.
    • Establish observability: logging, basic monitoring, alerts, error tracking.
    • Participate in task estimation: timelines, risks, trade-offs (fast vs. correct), release plan.

    What We Consider Success (KPI / Outcomes)

    • MVP in production in 2-6 weeks (depending on scale) with working key scenarios.
    • Reduction in development time due to AI tools (visible increase in speed and quality).
    • Minimum blocker bugs at launch, transparent logs, and reproducibility.
    • Clear artifacts: brief PRD/BRD-lite, technical description, deployment, and support instructions.

    Mandatory Requirements (must-have)

    • 2+ years in prototype/MVP development or a strong portfolio with real launches.
    • Ability to work in conditions of uncertainty: formulating requirements together with the business.
    • Understanding of business processes and business analysis skills: asking the right questions, documenting processes, identifying bottlenecks.
    • Confident work with APIs, webhooks, databases (SQL/NoSQL), auth (JWT/OAuth), queues, or their substitutes.
    • Understanding of deployment and operation: Docker (preferred), cloud deploy, environment variables, secrets, domains.
    • Experience using AI development tools as a daily practice.
    More
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