Fullstack Software Engineer

Location: London, UK

On-Site| Full-time

Compensation: Competitive Compensation

Our client is an early-stage, high-impact, revenue-generating AI startup that is fundamentally redefining business automation. While most applied AI companies focus on selling software tools, this organization sells completed business outcomes—delivering highly automated, autonomous pipelines that directly close revenue for clients ranging from fast-growing startups to Fortune 500 enterprises.

With strong product-market fit, consistent month-over-month growth, and a clear roadmap, the engineering team is currently scaling up. This is a rare opportunity to join an elite, tight-knit, and highly leveraged engineering team where every line of code directly drives revenue and shapes foundational systems from scratch.

The team operates in a fast-paced, high-momentum environment that values intense collaboration. To maintain this high-engagement culture, this role is 100% on-site (five days a week) at the client’s office in Piccadilly, London
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Key Responsibilities

• End-to-End System Ownership: Own complex technical problems from scope to deployment, building and iterating on foundational systems from scratch with real users from day one.
• Next-Generation Infrastructure: Build and scale custom calling and dialer infrastructure with autonomous AI agents at the core.
• Autonomous AI Workflows: Develop and optimize high-throughput AI Inbound SDR systems capable of autonomously managing thousands of callbacks and converting them to scheduled meetings.
• Closed-Loop Intelligence: Build post-interaction intelligence layers that generate real-time insights, customized proposals, and targeting signals to feed directly back into campaigns.
• High-Scale Data Pipelines: Engineer advanced prospecting engines featuring custom web scraping, AI-driven qualification pipelines, and highly optimized list-logic systems.
• Stack Optimization: Work within a modern, robust tech stack utilizing Type Script, React, Next.js, AWS, Open Search, Trigger.dev, Click House, and Datadog.

Experience & Background

• Top-Tier Tech
  
  Experience:
  
  Proven software engineering experience at a globally recognized, high-caliber technology organization (e.g., FAANG, Bloomberg, Stripe, Shopify, Revolut, Datadog, or direct equivalent) is strictly required
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• Startup DNA: Prior experience working in a fast-growing startup or highly agile team (