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Published 2025-06-09

Software Engineer, AI


Software Engineer, AI

Company details

Company: Refine AI
Type de job: Remote
Country: England
City: London
Region: London
Experience: With previous experience



Description of the offer

At Refine — a no-code AI agent platform — we simplify lead enrichment, prospect research, and CRM data cleanup for modern GTM teams. Unlike traditional tools like Clay or Apollo, Refine lets users run prebuilt AI enrichment agents without writing prompts, building workflows, or touching code.

We’re scaling fast with a clear product-market fit. You’ll join early, work directly with the founder, and help build infrastructure powering real-world use cases in sales automation, marketing ops, and recruiting.


What You’ll Work On

  • Multi-agent infrastructure – Design how AI agents collaborate to enrich, research, and clean data
  • Data verification logic – Score and deduplicate lead data across enrichment providers
  • Agent feedback loops – Capture user input to help agents improve themselves
  • Browser automation – Build tools using Playwright to extract live data from websites
  • Prompt systems – Manage structured prompts and reliable output chaining
  • Task orchestration – Automate sequential agent tasks with failovers and retries

About You

  • 2+ years of experience in software development (ideally at a fast-paced startup)
  • Strong Python skills (async, scraping, API design, background tasks)
  • Familiarity with LLMs (OpenAI, Claude, Groq) and prompt engineering
  • Comfortable shipping fast and making autonomous decisions
  • Bonus: experience with enrichment APIs (e.g. Apollo.io, Clearbit, Zeobounce)

✨ What Makes This Role Unique

  • Early ownership in a growing lead enrichment product
  • You ship real features used by sales teams, marketers, and recruiters
  • High-agency, async-friendly environment
  • No meetings for the sake of meetings — just fast execution
  • Flat structure. No layers. No red tape.

️ Tech Stack

  • Backend: Python, FastAPI, Postgres, Redis
  • Agents: Langchain (optionally), native async agent infra
  • Automation: Playwright, browser automation, API orchestration
  • LLMs: OpenAI, Claude, Groq (model-agnostic)
  • Infrastructure: Lightweight, fast, API-first


Location of employment





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