Fullstack AI Implementation Engineer

Location: Remote / Brisbane

Type: Full-Time

Experience Level: Mid to Senior

Industry: AI Infrastructure / SaaS / Automation

Start Date: ASAP

We’re looking for a bias-for-action fullstack engineer with a strong AI implementation mindset. You’ll be our go-to person for stitching together LLMs, building RAG pipelines, connecting services via n8n or Langflow, and standing up fullstack applications that work end-to-end. You’ll work directly with the founders, PMs, and designers to rapidly prototype, validate, and scale AI-native features.

This is not a research role—this is about shipping AI into product.

• Design and implement end-to-end AI features using OpenAI, Anthropic, or open-source LLMs.
• Build RAG pipelines integrating with vector stores (Pinecone, Upstash Chroma).
• Construct workflow-based systems using n8n, Langflow, or custom orchestrators.
• Stand up robust backend services (REST/GraphQL), APIs, and database schemas (Postgres + Drizzle).
• Build user-facing UIs (React/Next.js) with modern component frameworks like shadcn/ui to expose LLM/agentic capabilities.
• Build and maintain robust data pipelines and integrate with modern data warehouses (Snowflake, BigQuery) using tools like Fivetran.
• Deploy fast, iterate based on user feedback, and validate concepts through working prototypes.
• Work with unstructured data—PDFs, call transcripts, notes—and convert it into usable intelligence.
• Own performance, observability, security, and reliability for the AI services you ship.
  

We work with a range of tools and platforms. If you know some of these — great. If you don’t, but you learn fast and love to build, we still want to talk to you.

• Languages: TypeScript, Python
• Frameworks: Next.js, FastAPI / Express, Tailwind
• UI: shadcn/ui
• AI Tools & Frameworks: OpenAI, Anthropic Claude, LangChain, LlamaIndex, Mastra, Letta, AI SDK
• Workflows: n8n, Langflow, custom Node-based orchestrators
• Data/Infra: Postgres + Drizzle, , Redis, Chroma/Pinecone, Supabase, Vercel, AWS
• Warehousing/ETL: Snowflake, BigQuery, Fivetran
• DevOps: GitHub Actions, Docker, Fly.io or AWS/GCP
• Dev Tools: Cursor, v0, Claude Code
  

• 2–8 years of full-stack experience building and deploying real products.
• Proven ability to build and iterate fast—POCs, MVPs, internal tools.
• Strong understanding of LLMs, embeddings, RAG, and chaining agents.
• Solid experience with frontend (React) and backend (API + DB) architecture.
• Ability to work independently in an ambiguous, high-speed environment.
• Demonstrated bias toward action and customer value over theoretical perfection.
• Bonus: Prior experience in startups or 0→1 environments.
  

• You’ll build foundational AI systems at a company where speed and ownership matter.
• Your work will ship fast, get real usage, and shape the core product.
• You’ll work directly with a high-caliber team and founders.
• We’re backed by leading investors and moving quickly in a high-growth category.