Company Overview
Kredete is a New York-based financial technology platform founded in 2022 by Adeola Adedewe that empowers African immigrants and emerging-market communities to move money across borders while building credit history. Through its stablecoin-powered app, users can send low-cost, near-instant remittances to 50+ countries, hold multi-currency accounts (including FDIC-insured USD accounts accessible with international IDs), spend with virtual and physical cards, save, and convert routine transfers into credit-building events that improve U.S. credit scores. Backed by more than $24 million in funding (including a $22 million Series A), Kredete has grown into a global financial super-app serving millions of users and thousands of businesses with AI-assisted tools, enterprise payment APIs, and expanding regulatory licenses across Africa, Europe, North America, and beyond.
Kredete invites qualified candidates to fill in the position below:
Job Title: AI Engineer – Agentic Systems (LLMs & RAG)
Location: Lagos
Salary Offer: (NGN) – 0 / Monthly
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 Responsibilities
- Design 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 Date
Not Specified.
How to Apply
Interested and qualified candidates should:
Click here to apply online
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