AI Engineer LLM LangChain RAG
AI Engineer LLM LangChain RAG
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Job Description
This is a remote position.
We are seeking an AI Engineer to build innovative LLMpowered applications using tools like LangChain RAG and vector databases. Were looking for a smart passionate engineer eager to solve realworld problems with AI. Experience with Spring is a plus. Perfect for earlycareer 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(monthly)
Design and build AIpowered 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 fastmoving world of generative AI and experiment with bleedingedge tools.
Apply enterprise frameworks like Spring Boot to wrap or scale LLM services.
Requirements
Strong understanding of how LLMs work and how to finetune 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 realworld 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 enterprisegrade 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 cuttingedge tools mentorship and a culture of experimentation and innovation.
- Health Insurance
- Paid Annual Leave
- Gym Membership
- Provision of working tools & Stable Internet
- Flexible working conditions
- Free Lunch
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.
Education
Minimum of High School (S.S.C.E)
Employment Type
Full Time
