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AI SaaS Developer

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Onsite

AI SaaS Developer

Stealth Manager - White Label Agency

AI SaaS Developer

Skills

NextReactTypescriptPythonProduct StrategyAIElasticsearchGitHubGoogle AdsMeta AdsTikTok AdsFastAPIAffiliationComplianceJavascript

2 days ago

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Important information


Contract type:

Permanent

Location:

Brazil

Work mode:

Onsite

Published on:

22 October 2026

What they need


AI SaaS Developer

About the Role

We’re looking for an AI SaaS Developer to design, build, and launch AI-powered software products from the ground up. This role is ideal for a hands-on developer who enjoys turning ideas into real products, combining full-stack engineering, AI integrations, and SaaS development to solve practical business problems.

You’ll own the product lifecycle from initial concept and prototyping to launch, paying users, and continuous improvement, with a focus on digital marketing, affiliate marketing, and advertising automation.

What You’ll Build

You’ll work on AI-powered SaaS products such as:

  • AI Ad Research Tools: Searchable ad libraries, AI-powered ad analysis, ad copy generation, and trend alerts to help affiliate marketers identify opportunities and improve campaign performance.
  • AI Advertising Automation: Tools that connect AI assistants to advertising platforms, allowing users to create and manage Facebook and Instagram campaigns through natural-language instructions, with safeguards and approval workflows.

These are examples of initial projects. You’ll also develop new AI SaaS products as business opportunities emerge.

Key Responsibilities

  • Own product development from idea and technical specification to prototype, launch, and ongoing improvement.
  • Build full-stack SaaS applications, including web interfaces, user accounts, databases, background jobs, and AI-powered features.
  • Develop AI agents, prompts, and workflows using LLM APIs such as OpenAI and Anthropic Claude.
  • Build MCP servers and integrations with advertising platforms and APIs, including Meta Marketing API and Meta Ad Library API.
  • Implement subscriptions, billing, free trials, access levels, and integrations with checkout systems, CRMs, and course platforms.
  • Develop data collection, search, reporting, and AI-driven recommendation features.
  • Ensure product reliability, security, scalability, and compliance with platform requirements.
  • Implement safeguards for advertising automation, including paused-by-default ads, budget limits, approval steps, and spend alerts.
  • Monitor product usage, resolve bugs, manage technical support escalations, and optimize AI, API, hosting, and data costs.
  • Create product documentation, user guides, and training materials for internal teams.
  • Collaborate with cross-functional teams to define requirements, prioritize features, and prepare products for launch.
  • Maintain a visible product roadmap and backlog, share regular progress updates, and report key product metrics.

Requirements

  • 4+ years of full-stack software development experience, including at least one SaaS product launched to paying customers.
  • Strong proficiency in TypeScript/JavaScript and/or Python.
  • Experience with modern web frameworks such as Next.js, React, or FastAPI.
  • Hands-on experience with LLM APIs, including prompt engineering, tool use, and AI agents.
  • Experience building or deploying MCP servers, or strong API integration experience with the ability to learn MCP quickly.
  • Experience with Meta Marketing API or another advertising API, such as Google Ads or TikTok Ads.
  • Experience with OAuth, subscription billing platforms such as Stripe, databases, and cloud hosting.
  • Strong written communication skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience building data collection pipelines, search systems such as Elasticsearch, or vector databases at scale.
  • Hands-on experience running Facebook ads or working in affiliate marketing.
  • Experience navigating Meta App Review.
  • A portfolio or GitHub showcasing AI-powered or advertising technology products in production.

How Success Is Measured

  • Product milestones delivered against the roadmap.
  • Active users, paying subscribers, retention, and cancellations.
  • Product reliability, uptime, and error rates.
  • Bug resolution and support response times.
  • AI, API, data, and hosting costs per paying user.

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