GenAI Tech Lead

Slough Full-Time 43200 - 72000 £ / year (est.) Home office possible

Short Description

Anecdote is building the AI Hub—a unified platform that powers domain-specific AI agents – a real-time copilot that listens to live calls or chats, reads our customers’ knowledge base, and drafts perfect replies for human agents.

As the Tech Lead, you will own the technical vision and will be turning the technical requirements into a live product. Collaborate directly with engineers, engineering directors, CTO, and other tech leads to turn ambitious prototypes into a rock-solid product used by brands like Grubhub, Booking, Dropbox & Uber.

About Anecdote

Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth.

We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date.

What you will actually do

What you’ll actually do

50 % Build: Writitical Pyth, design APIs, fine-tune LLMs, create evaluation harnesses, and ship to prod.
25% Architect and scale: Architect & operate scalable GPU clusters on GCP (Vertex AI / GKE / Cloud Run). Monitor cost, latency, and reliability; own the on-call.
15% Collaborate: Pair with backend & front-end engineers to wire RAG pipelines into ticketing, voice, and analytics stacks.
10% Align & Showcase: Gather requirements from CX leads, demo new capabilities to execs & customers, and document impact.

Requirements

What makes you a great fit 7-10 yrs building prod ML / backend systems, including 2 + yrs leading while coding.

Expert Python; solid back-end chops (FastAPI, gRPC, Postgres, pub/sub).
Expect in ML and Data Science
Using AI-first IDE like windsurf and cursor everyday
Proven record deploying & tuning open-source LLMs (DeepSeek, Llama) on GPUs.
Fluency with at least one agent framework (preferably ADK, even though it is 2 months old) and RAG pipelines.
Strong infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, cost tuning.
Track record translating business problems into shipped ML products—and presenting results in plain English.
Bonus: DevOps wizardry, multimodal pipelines, prior relevant experience

Perks and bonuses