AI Engineer - Agentic Systems LLMs & RAG) | Kredete · Teeming.ai
Kredete
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…
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…
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Role Overview
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
Required Skills & Qualifications
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
What We Offer
Opportunity to work on cutting-edge
AI and agentic systems
Flexible work environment (remote-friendly, if outside Lagos)
Competitive compensation
High-impact role with ownership and autonomy
Collaborative and fast-paced engineering culture
Nice-to-Have Project Experience
Building AI copilots or assistants
Autonomous task execution systems
Document ingestion and intelligent search platforms
Workflow automation using AI agents
Integration with third-party APIs and enterprise systems
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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
