Alfa AI

Alfa AI offers an AI-powered recruitment agent, Lisa, designed to automate the screening and interviewing of candidates. Lisa operates 24/7, reducing the time spent reviewing resumes by 95% and increasing the number of interviewed candidates by 10x, with the goal of helping companies hire top talent 1% faster. The service supports any job, across all countries and industries, and can conduct live AI calls in over 30 languages with custom avatars. Alfa AI also provides resources such as a podcast, blog, and newsletter focused on AI and recruitment.

AIAutomationCandidate ScreeningHiringRecruitmentwelovealfa.com

Alfa AI

AIAutomationCandidate ScreeningHiringRecruitmentwelovealfa.com

HQLondon, GB

Team Size36

Open Jobs112

Total Funding$625K

Latest Fundraiselast year

TL;DR

Product: Lisa — an AI recruiter that automates sourcing, resume screening and video interviews (30+ languages)

Founded: 2022 (Alfa Technology Recruitment Ltd.)

Funding: USD 625,000 pre-seed (Feb 18, 2025) — lead investor Fuel Ventures

Founders: Alfie Whattam (CEO); Ed Godshaw (CTO); Dr. Linda Yu, PhD (CRO)

Headquarters: Hackbridge, Sutton, United Kingdom

Company Overview

Problem Domain

Recruitment technology / hiring automation

Founded

2022

Industry

Software Development

Tech Stack

Apple Mobile Web Clips Icon

Content Delivery Network

DNSSEC

Global Site Tag

Google Analytics

Google Tag Manager

HSTS

iPhone / Mobile Compatible

Organization Schema

Viewport Meta

Funding Track Record

Pre-Seed- 2025-02-18

USD 625,000

Reported valuation at the round: USD 6,000,000; other investors include David Rowe, Pierre Decote, and Chris Adelsbach.

Investor Signal

“Lead investor Fuel Ventures with participation from angel investors including David Rowe, Pierre Decote, and Chris Adelsbach.”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Alfa AI

AIAutomationCandidate ScreeningHiringRecruitmentwelovealfa.com

Alfa AI

AIAutomationCandidate ScreeningHiringRecruitmentwelovealfa.com

HQLondon, GB

Team Size36

Open Jobs112

Total Funding$625K

Latest Fundraiselast year

TL;DR

Product: Lisa — an AI recruiter that automates sourcing, resume screening and video interviews (30+ languages)

Founded: 2022 (Alfa Technology Recruitment Ltd.)

Funding: USD 625,000 pre-seed (Feb 18, 2025) — lead investor Fuel Ventures

Founders: Alfie Whattam (CEO); Ed Godshaw (CTO); Dr. Linda Yu, PhD (CRO)

Headquarters: Hackbridge, Sutton, United Kingdom

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Company Overview

Problem Domain

Recruitment technology / hiring automation

Founded

2022

Industry

Software Development

Tech Stack

Apple Mobile Web Clips Icon

Content Delivery Network

DNSSEC

Global Site Tag

Google Analytics

Google Tag Manager

HSTS

iPhone / Mobile Compatible

Organization Schema

Viewport Meta

Funding Track Record

Pre-Seed- 2025-02-18

USD 625,000

Reported valuation at the round: USD 6,000,000; other investors include David Rowe, Pierre Decote, and Chris Adelsbach.

Investor Signal

“Lead investor Fuel Ventures with participation from angel investors including David Rowe, Pierre Decote, and Chris Adelsbach.”

Founders

What we do

Join the Team

Senior Machine Learning Engineer

HybridNew York, NY, US

Hybrid • New York, NY, US

Role Overview

We are seeking a seasoned Senior Machine Learning Engineer to lead the development and deployment of scalable, production-grade generative AI systems. This role is central to our AI transformation initiative, focusing on bridging the gap between cutting-edge research and robust, high-performance infrastructure that delivers tangible business impact. You will be instrumental in building the solutions that operationalize AI at an enterprise scale.

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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Part-time • Rotterdam, NL

Machine Learning Engineer

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Contract • Munich, DE

Data Scientist

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Full-time • Jerusalem

Backend Developer

Full-timeNew York, US

Full-time • New York, US

Technical Writer

ContractJerusalem

Contract • Jerusalem

Technical Writer

Part-timeSan Francisco, US

Part-time • San Francisco, US

Bachelor’s degree in Computer Science, Engineering, a related quantitative field, or equivalent practical experience.
5+ years of professional experience in machine learning engineering, software engineering, or data engineering, with a proven track record of deploying models into live production environments.
Hands-on experience with NLP and/or Large Language Model (LLM) projects, including fine-tuning, evaluation, and deployment.
Strong proficiency in MLOps principles and tools, data orchestration (e.g., Airflow, Kubeflow), and model lifecycle management.
Expertise with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.