Offer summary

Qualifications:

High School diploma (S.S.C.E) required., Strong understanding of LLMs and experience with LangChain or LLamaIndex., Proficiency in Python, with a focus on AI/ML development., Familiarity with RAG pipelines and vector databases is preferred..

Key responsibilities:

Design and build AI-powered applications using LLMs and LangChain.

Implement intelligent workflows integrating structured and unstructured data.

Create conversational agents and retrieval systems using embedding and APIs.

Collaborate with engineers to integrate LLM features into applications.

Job description

This is a remote position.

FlexiSAF is a leading EdTech company driving innovation in education across Africa. From school administration to intelligent learning platforms, we are on a mission to transform how institutions educate and students learn.

Job Summary

We are seeking an AI Engineer to build innovative LLM-powered applications using tools like LangChain, RAG, and vector databases. We're looking for a smart, passionate engineer eager to solve real-world problems with AI. Experience with Spring is a plus. Perfect for early-career talents ready to make an impact.

Minimum Qualification : High School (S.S.C.E)
Experience Level : Entry level
Experience Length : 2 years
Working Hours : Full Time
Salary : NGN 150,000 - 250,000 (monthly)

Responsibilities

Design and build AI-powered applications using LLMs, LangChain, and RAG techniques.
Implement intelligent workflows that integrate structured and unstructured data sources.
Create conversational agents and retrieval systems using embedding, vector stores, and APIs.
Collaborate with frontend/backend engineers to bring LLM features into web or mobile applications.
Keep up with the fast-moving world of generative AI and experiment with bleeding-edge tools.
Apply enterprise frameworks like Spring Boot to wrap or scale LLM services.

Typically, we will review applications and respond to only qualified candidates; interested candidates are advised to apply as soon as possible as we will close applications once we receive sufficient amount of applications.

Requirements

Strong understanding of how LLMs work and how to fine-tune or chain them using frameworks like LangChain or LLamaIndex.
Experience with Python (preferred), especially in AI/ML development.
Ability to build, test, and deploy LLM features in real-world applications.
Familiarity with RAG pipelines, vector databases (e.g. FAISS, Pinecone), and embedding techniques.
Comfort working with APIs and integrating AI services.
Curiosity, energy, and a strong desire to learn and grow.
Experience with Java and Spring Boot for building enterprise-grade services.

Benefits

What You’ll Gain

The opportunity to build truly impactful products that reach thousands of students and educators.
Work alongside a passionate and talented team solving real problems.
Access to cutting-edge tools, mentorship, and a culture of experimentation and innovation.

Benefits