AI role · Open offer

LLM Engineer — Flutterwave careers

Flutterwave

Full-time
Senior
Payments AI
Hybrid
Lagos, Nigeria · Hybrid
Competitive USD/NGN + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Lagos, Nigeria · Hybrid
Compensation: Competitive USD/NGN + equity
Experience level: Senior
Team: Payments AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Flutterwave is hiring a Senior LLM Engineer — Flutterwave careers on the Payments AI team (Hybrid · Lagos, Nigeria). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Flutterwave — Flutterwave careers for payments AI across Africa from Lagos.

LLM Engineer (hybrid Lagos): fraud copilots, support RAG, and ops assistants.

Missions

Ship LLM workflows with payment-domain guardrails.
Improve retrieval quality for ops knowledge bases.

Stack & environment

Python, LangChain, AWS, Docker.

What we look for

LLM/RAG in production; Africa-based or eligible.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

AWSTool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Payments fraud LLM, support copilots, or RAG for ops.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, Machine Learning, and AWS.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lagos, Nigeria)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: Competitive USD/NGN + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Payments fraud LLM, support copilots, or RAG for ops.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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