Jobs / mLa***
Fullstack Software Engineer
mLa*** · London, ENG, United Kingdom
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London, ENG, United KingdomOnsite
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
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.
Benefits
Compensation: Competitive CompensationVisa Sponsorship: Full visa sponsorship is available for qualified internationalHealth & Wellness: Comprehensive private health and dental insurance.Retirement: Company-matched pension scheme.OfficeFully covered late-night dinners and taxi rides home for team members working paInterview ProcessOur client running this search utilizes a rigorous, two-stage technical evaluatiStage 1: Screening CallAn introductory conversation to align on professional background, career aspiratStage 2: Technical Evaluation PhaseTake-Home Assessment: A practical exercise utilizing a provided application scaf
Qualifications
- Experience & Background
- 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.
- Technical & Academic
- 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.
- Location & Commitment
- On-Site Presence: Must be currently based in London (or fully willing to relocate) and committed to working on-site five days a week in Piccadilly (no exceptions).
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 TypeScript, React, Next.js, AWS, OpenSearch, Trigger.dev, ClickHouse, and Datadog.
Degrees
AssociateDegree
Industry
AutomotiveEducationEnergyInsurance
Company size
EnterpriseSmbStartup