Fullstack Software Engineer

Mlabs, Inc.
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 99K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Web Scraping
Data Structures
Next.js
Shopify
Software Engineering
TypeScript
Datadog
React
Large Language Models
Multi-Agent Systems
Stripe
Information Technology
Vertica
Virtual Agents
Data Pipelines
Automation Anywhere

Job description

  • 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 TypeScript, React, Next.js, AWS, OpenSearch, Trigger.dev, ClickHouse, and Datadog., Our client running this search utilizes a rigorous, two-stage technical evaluation designed to identify exceptional systems thinkers.
  • Stage 1: Screening Call
  • An introductory conversation to align on professional background, career aspirations, and cultural fit.
  • Stage 2: Technical Evaluation Phase
  • Systems Design Interview: An interactive session focused on mapping a complex, real-world problem statement to a highly scalable, end-to-end architectural solution.
  • Take-Home Assessment: A practical exercise utilizing a provided application scaffold. Candidates will solve a problem using an AI agent and must be prepared to articulate, explain, and defend the agent's outputs.
  • Stage 3: Follow-Up & Culture Fit
  • A final discussion to meet additional team members, review role expectations, and finalize compensation details.

Requirements

  • 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.
  • Startup DNA: Prior experience working in a fast-growing startup or highly agile team (<20 people, such as YC-backed companies), demonstrating a track record of wearing multiple hats and shipping high-impact code.
  • Professional Tenure: Minimum of 3+ years of professional software engineering experience for mid-level candidates, and 6+ years for senior-level candidates., * Full-Stack Proficiency: Deep expertise in full-stack web development, with strong production experience in TypeScript and React (Next.js experience is highly preferred).
  • CS Fundamentals: Exceptional computer science fundamentals, including data structures, algorithms, and performance trade-offs, backed by a Computer Science degree or equivalent from a top-tier university.
  • Architectural Capability: Proven ability to design complete, end-to-end systems from scratch, demonstrating true systems-level thinking rather than simply executing on pre-defined architectures.
  • AI & LLM Tooling: Practical experience building with AI/LLMs, autonomous agents, RAG systems, or advanced LLM-powered application features.

Benefits & conditions

  • Competitive Compensation: Market-aligned base salary with highly flexible stock-for-salary trade-off options, structured to reward those who value meaningful equity in a high-growth, revenue-generating startup.
  • Visa Sponsorship: Full visa sponsorship is available for qualified international candidates.
  • Health & Wellness: Comprehensive private health and dental insurance.
  • Retirement: Company-matched pension scheme.
  • Office Perks: Fully covered late-night dinners and taxi rides home for team members working past 8:00 PM.

About the company

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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