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Full-Time

First seen by Alion on Oct 10, 2026.

Overview
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Impact
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Fastn is the embedded integration layer for SaaS. Your customers connect any system inside your product, with no engineering and no code per customer. AI.
Backed by Antler
AI/ML Engineer

Location: Remote
Type: Full-time

About Fastn

Fastn is on a mission to revolutionize how SaaS companies connect with their customers' environments. Powered by AI, we provide an embedded integration infrastructure that enables SaaS businesses to build, scale, and manage their integration ecosystem effortlessly.

Our platform helps companies launch strategic integrations, create their own app marketplace, and unlock new revenue streams by offering seamless connectivity with the tools their customers already use.

Were now expanding our AI capabilities and are looking for someone passionate about building intelligent systemsespecially with low-code/no-code tools and modern AI agent frameworks.

What Youll Do

As an AI/ML Engineer, youll help Fastn explore and build cutting-edge AI-driven automations and intelligent agents using low-code/no-code platforms. Youll work closely with the product and engineering teams to rapidly prototype, test, and scale AI features that enhance our platform and customer experience.

Your Responsibilities
  • AI Agent Development: Design, build, and maintain AI agents using low-code/no-code platforms (e.g., LangChain, Flowise, AutoGen, SuperAGI, etc.).
  • Automation Workflows: Build and optimize automated workflows using tools like Make, Zapier, or n8n integrated with LLMs and APIs.
  • Tooling & Integration: Connect various APIs, SaaS tools, and data sources using AI agents or drag-and-drop environments.
  • Prototyping & Experimentation: Rapidly prototype AI use cases (e.g., customer support bots, smart data processors, intelligent data syncs).
  • Collaboration: Work closely with product managers and other engineers to turn business problems into working AI/automation solutions.
  • Monitoring & Optimization: Track and improve the performance and reliability of deployed agents and automation pipelines.
What Were Looking For

Were seeking a curious, hands-on AI/ML engineer who enjoys building intelligent systems fast, especially using low-code/no-code tools and frameworks that are redefining how AI is built and delivered.

Must-Have Skills & Experience
  • 2 - 4 years of experience in AI/ML, automation, or software engineering.
  • Strong understanding of how LLMs (like GPT, Claude, etc.) work and how to integrate them into applications.
  • Hands-on experience with low-code/no-code platforms (e.g., LangChain, Flowise, Make, Zapier, Bubble, Retool).
  • Familiarity with AI agent frameworks (e.g., LangGraph, SuperAGI, CrewAI, AutoGen).
  • Ability to work with APIs, webhooks, and data integrations.
  • Strong problem-solving skills and a fast prototyping mindset.
  • Comfort working in fast-paced startup environments and iterating quickly.
Nice-to-Have Skills
  • Basic Python or JavaScript knowledge for custom logic inside automation tools.
  • Experience with vector databases (e.g., Pinecone, Weaviate, Chroma).
  • Familiarity with tools like OpenAI, Hugging Face, or Anthropic APIs.
  • Understanding of RAG pipelines, prompt engineering, or chain-of-thought reasoning techniques.
  • Background in SaaS or integration platforms is a plus.
Why Join Fastn?
  • Be at the Forefront of AI x Automation Work with the latest tools to build intelligent, low-code-powered agents.
  • High-Impact Work What you build will be shipped, used, and iterated onfast.
  • Startup Vibes, Real Ownership Help shape our AI/automation strategy from the ground up.
  • Growth-Focused Team Learn fast, ship fast, and grow with a smart, ambitious team.
  • Flexible & Remote Work from anywhere with a schedule that suits you.
Join Us in Building the Future of SaaS Connectivity with AI!

If youre excited about shaping intelligent automations and working with the newest AI agent tools, wed love to hear from you.

Apply now and help us make AI accessible and actionablefaster than ever!

Originally posted on Himalayas

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