AI Engineer - Agentic Systems LLMs & RAG)
Kredete
Remote
Kredete is a financial technology company building modern financial infrastructure for global money movement. We help businesses and individuals move money instantly across borders, and access financial products designed for a globally connected world.
Powered by stablecoins and modern payment systems, Kredete enables faster, more affordable, and more accessible cross-border transactions across 60+ countries. Our mission is to transform global finance by building secure, scalable, and customer-centric financial solutions for individuals and businesses.
We’ve built a product customers love and a business that is scaling rapidly. Kredete operates across New York, Lagos, London and Riga, and is backed by world-class investors. As we expand into new markets and product lines, we are building the next generation of cross-border financial infrastructure.
At Kredete, you’ll join a company in motion—ambitious, profitable, fast-moving, and deeply product-driven—where impact is visible, execution matters, and growth is underway. We value ownership, speed, curiosity, operational excellence, and people who thrive in high-accountability environments.
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
- 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)
- 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
- Compensation + Equity-linked incentive package
- Opportunity to help shape the future of cross-border financial infrastructure
- High-impact role with direct visibility into company growth and strategy
- Small, high-performing teams with strong ownership and autonomy.
- Fast execution environment with meaningful career growth opportunities
- Exposure to global markets, fintech innovation, and emerging payment systems
- Collaborative and mission-driven culture focused on building products customers genuinely love