Full Stack Engineer

TalentTrade Recruitment Limited; England; On-site; GBP 130,000 - 150,000; Full time

Job summary

A cutting-edge AI start-up in London is seeking a Full Stack Software Engineer to develop intelligent AI systems used by top brands. In this role, you will work on building production-grade conversational AI agents, contributing across the technical stack. Applicants should have 2+ years of software engineering experience, strong proficiency in Python and TypeScript, and a passion for improving AI outcomes. This position offers immediate impact and opportunities for impactful mentorship in advanced AI systems.

Benefits

Daily lunch & snacks provided

Equity options

Qualifications

• 2+ years of experience as a professional software engineer.
• Strong proficiency in Python and TypeScript.
• Logical mindset with a desire to understand AI failures.

Responsibilities

• Design and build intelligent AI systems that reason and take action.
• Contribute across the stack, from backend to user-facing behavior.
• Work with teams to identify pain points and implement improvements.

Skills

Python

TypeScript

Debugging

Async workflows

Performance considerations

Education

Computer Science degree

Job description

Full Stack Software Engineer (AI Systems)

London | Full-time | On-site (5 days / week)

£130,000 - £150,000 + Equity

Daily lunch & snacks provided

Tech stack: Python · TypeScript · AI / Generative AI · Agentic Systems

Build AI that actually does things

I’m hiring a Full Stack Engineer to join a high‑growth, well‑funded AI start‑up building production‑grade conversational AI agents used by major FTSE 100 companies across healthcare, travel, and financial services in a live environment.

Through offering a leading conversational AI platform the company aims to empower every brand to deliver top class customer service and experience..

The company is valued at $1.5bn+, with a live, revenue‑generating product and strong enterprise adoption. You’ll be joining the London engineering team at a moment of real momentum.

What you’ll work on

You’ll help design and build intelligent AI systems that don’t just respond – they reason, interpret context, and take action.

This role offers full ownership

• Take ideas from concept → design → production
• Build and evolve AI agents used daily by real customers
• Work closely with product and customer‑facing teams to understand pain points and rapidly ship improvements
• Contribute across the stack, from backend logic to user‑facing behaviour

Engineers here are trusted to experiment, ship quickly, and make decisions that have measurable, visible impact.

What they’re looking for

Essential experience

• 2+ years as a professional software engineer working on production systems
• Strong proficiency in Python and TypeScript
• Comfort with async workflows, error handling, and performance considerations
• Strong debugging instincts – you enjoy digging into logs, traces, and data to understand how systems behave
• A logical, curious mindset and a desire to understand how AI systems fail – and how to make them better

Background

• Computer Science (or similar) degree from a well‑regarded university
• Programming language experience is flexible – Python / TypeScript are core, but strong fundamentals matter more

Nice to have (not required)

• Exposure to generative AI, agentic systems, or multimodal AI
• Experience with conversational platforms or enterprise‑scale SaaS products
• Interest in observability, testing, simulation, or AI transparency tooling
• Curiosity about how complex systems make decisions and how to explain them clearly

Why this role stands out

• Immediate impact : the systems you build go straight into production and are used at scale
• Engineering‑first culture : AI behaviour is observable, testable, and versioned – not buried in opaque prompts
• Built for iteration : powerful tooling lets you trace decisions, inspect data inputs, and understand performance end‑to‑end
• Real momentum : strong product adoption, clear market demand, and enterprise customers relying on this tech daily
• Learn AI properly : this is a rare chance to step into advanced AI systems with hands‑on mentorship, not hype