Kredete is a financial technology platform that helps African immigrants in the diaspora build credit through instant international money transfers to 22+ countries, with low fees. We also offer businesses an API-based infrastructure for secure and low-cost cross-border payments to many African countries.
We are recruiting to fill the position of: FindRecruiters
Job Title: AI Engineer - Agentic Systems (LLMs & RAG)
Location: Lagos
About The Role
We are looking for a highly skilled AI Engineer with strong experience in building agentic systems, Retrieval-Augmented Generation (RAG) pipelines, and LLM-powered applications.
The ideal candidate will have hands-on experience with LangChain, n8n, and agentic workflows and Applied experience with multiple programming languages implementation
The engineer will be responsible for designing, developing, and deploying intelligent, scalable AI systems.
Key ResponsibilitiesDesign and implement LLM-powered applications using frameworks such as LangChain
Build and optimize RAG pipelines integrating vector databases and external data sources
Develop agentic workflows that can reason, plan, and execute tasks autonomously
Integrate AI capabilities into existing products and services
Design and orchestrate workflows using tools like n8n or similar automation platforms
Work with embeddings, vector stores, and semantic search systems
Develop APIs and backend services to support AI features
Optimize model performance, latency, and cost efficiency
Collaborate with product, data, and engineering teams to define AI-driven solutions
Stay up to date with advancements in AI, LLMs, and autonomous agents
Required Skills & Qualifications
Strong experience with LangChain or similar LLM orchestration frameworks
Hands-on experience building RAG (Retrieval-Augmented Generation) systems
Experience designing agentic workflows / autonomous agents
Proficiency in multiple programming languages such as:
Python (preferred)
Golang
Rust
JavaScript / TypeScript
Experience with n8n or other workflow automation/orchestration tools
Solid understanding of:
Vector databases (e.g., Pinecone, Weaviate, FAISS)
Embeddings and semantic search
Prompt engineering and LLM evaluation
Experience building and consuming RESTful APIs
Familiarity with cloud platforms (AWS, Azure, or GCP)
Strong problem-solving and system design skills
Willing to travel to our Hubs as needed (Lagos, London, Riga)
Preferred Qualifications:Experience with multi-agent systems and orchestration
Knowledge of fine-tuning and model optimization techniques
Experience with knowledge graphs or structured data systems
Familiarity with DevOps practices and CI/CD pipelines
Experience building production-grade AI systems with monitoring and observability
Background in fintech, payments, or data-intensive applications.
Application Closing DateNot Specified.
How to Apply
Interested and qualified candidates should:Click Apply Now button to apply
How To Apply
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Attach your Application letter, updated Curriculum Vitae (CV) and any supporting documents required.
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Note: Only shortlisted candidates are contacted.
