Applied AI Scientist - LLMs & Voice

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£227,900 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python Large Language Models (LLMs) Prompt Engineering RAG Fine-tuning Agent Orchestration Voice AI Backend Engineering

FULL DESCRIPTION

Applied AI Scientist - LLMs & Voice

[Employer hidden — view at passion-project.co.uk] is seeking an Applied AI Scientist to build AI models and agent systems that power customer support automation for mobile money services in West Africa. The role involves architecting autonomous voice and digital agents handling over 10 million interactions per month, working with LLMs, voice AI, and production ML systems. This position is fully remote with occasional travel to operational markets.

Our Mission

We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. We're solving this by building financial services that just work. Our goal is to make Africa the first cashless continent and that's where you come in...

How You'll Help Us Achieve It

[Employer hidden — sign up to reveal] is now the largest financial institution in Senegal and Côte d’Ivoire, with millions of users. We're helping millions of customers across West Africa access financial services through mobile money. As an Applied AI Scientist on our Support Automation product team, you'll:

  • Bridge research and production, building AI models and agent systems that ship into real products.
  • Architect, evaluate, and optimize autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa.
  • Build for the hardest edge cases: poor connectivity, low literacy, and languages with little training data.
  • Experiment with, evaluate, and integrate the latest voice and text models.
  • Own problems end-to-end, from problem discovery to running in production.

Our stack (prior experience is a strong plus, but not required): Python 3 (+ mypy), GraphQL, Kotlin/Jetpack, Swift/SwiftUI, TypeScript/React, Postgres/CockroachDB, GCP/Terraform, Kubernetes.

Key Details

  • This is a fully remote role. Candidates must be based in one of our talent hub countries (US, Canada, UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa.
  • [Employer hidden — sign up to reveal] provides a yearly $1,200 stipend to support coworking meetups.
  • Remote team members are expected to travel to operational markets at least once a year.
  • Salary up to $227,900, plus generous equity package.
  • Subsidized health insurance, retirement contributions, 6 months paid parental leave, flexible vacation, $10,000 annual charitable donation matching.

Requirements

  • 5+ years of experience in AI/ML engineering
  • Strong Python and backend engineering skills
  • Solid foundation in statistics and ML theory
  • Proven hands-on experience building with LLMs (prompt engineering, RAG, embeddings, fine-tuning, agent orchestration etc.)
  • Track record taking ML models from prototype to production
  • Fluency with AI coding agents
  • Bonus: research background in speech or LLMs, Voice AI experience, conversational AI systems, low-resource language challenges
  • Fluent in English (bilingual in French is a big bonus)

You Might Be a Good Fit If You

  • Are comfortable navigating ambiguity and design agent systems end-to-end.
  • Obsess over evaluation – catch hallucinations, measure groundedness.
  • Balance research intuition with pragmatic engineering.

About Engineering at [Employer hidden — sign up to reveal]

We care about the big picture. We move as fast as possible. We like boring technology. Simplicity is a strategy.

How to Apply

Fill out the form below, and upload a resume in English and a cover letter describing your interest in [Employer hidden — sign up to reveal] and the role. Optional: Send a JSON payload with your resume and/or links via POST to this secure endpoint using the bearer token provided. [Employer hidden — sign up to reveal] is an equal-opportunity employer.

Sign up free — access 45,000+ UK sponsor-licensed jobs