GenAI Tech Lead

Anecdote; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Anecdote, an innovative AI-first startup, seeks a GenAI Tech Lead to oversee the technical development of their AI Hub. This role involves shaping technical requirements into a product while collaborating with engineers and directors. Candidates should have substantial experience in machine learning and backend systems, particularly in Python.

Benefits

Remote-first freedom & flexible hours

Regular off-sites & monthly virtual game nights

Unlimited vacation encouraged

Learning budget for conferences, courses & books

Startup equity in a rapidly growing market

Qualifications

• 7-10 years experience in building production ML/backend systems.
• Strong background in Python and experience leading teams.

Responsibilities

• Own technical vision and convert requirements into a product.
• Collaborate with engineers and lead code development.

Skills

Python

ML

Data Science

FastAPI

gRPC

Postgres

Pub/Sub

Agent Frameworks

GCP

Infrastructure

Education

Degree in Computer Science or related field

Job description

Anecdote Greater London, England, United Kingdom

GenAI Tech Lead

Anecdote Greater London, England, United Kingdom

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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.

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

• Remote-first freedom & flexible hours
• Regulart off-sites & monthly virtual game nights
• Unlimited vacation (minimum 20 days encouraged) ️
• Learning budget for conferences, courses & books
• Startup equity in a rapidly growing market

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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