FlexiSAF Edusoft Limited is a Software company that is focused primarily on education. Since its inception in 2010, FlexiSAF has continued to take giants strides in reinventing learning and inspiring people to make lifelong positive impact. ? With over 500 institutions, (primary, secondary, tertiary, government parastatals and learning centres), over 100 staff and 6 branches, everything we do has our clients at the epicentre.
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
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.
Method of Application
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