06/11/2026 updated
100 % available
AI & Backend Engineer | LLM Systems | Microservices
Abuja, Nigeria
Worldwide
B.Sc. Computer ScienceAI AgentsPython (Programming Language)RedisSQL DatabasesDockerGolangMicroservices
LLM & AI Engineering
Expertise in LLM integration using OpenAI and Claude, prompt engineering techniques (CoT, ToT, System), fine-tuning with RLHF and domain adaptation, embeddings, and vector databases for production-grade AI systems.
Backend Engineering
Strong foundation in building scalable backend services using FastAPI, microservices architecture, REST APIs, Auth/KYC flows, wallet and payment services, notification systems, Redis, Docker, and CI/CD pipelines.
Agent Systems & Multi-Agent Architectures
Design and implementation of multi-agent architectures with session and dialog management, short-term and long-term memory (STMs/LTMs), and tool-use agents using LangChain and LangGraph.
Programming Languages & Frameworks
Proficiency in Python, Go, and SQL, with hands-on experience using FastAPI, LangChain, and LangGraph for building AI-powered and backend applications.
ML & Data Engineering
Practical experience with PyTorch, scikit-learn, Pandas, NumPy, recommendation systems, sentiment classification, and MLOps workflows including model versioning, continuous evaluation, and automated deployment.
Cloud & DevOps
Hands-on experience with AWS and GCP, Docker-based containerization, CI/CD pipelines, and model versioning and deployment strategies for scalable cloud infrastructure.
Cryptocurrency & Fintech Domain Knowledge
Applied knowledge in cryptocurrency trading and compliance, including KYC flows, regulatory compliance logic, multi-currency wallet and payment services, and AI-driven trading assistant features.
Recommendation & Search Systems
Development of personalised product recommendation engines using collaborative filtering and content-based models, as well as image-based product search systems leveraging embedding models and vector databases.
Expertise in LLM integration using OpenAI and Claude, prompt engineering techniques (CoT, ToT, System), fine-tuning with RLHF and domain adaptation, embeddings, and vector databases for production-grade AI systems.
Backend Engineering
Strong foundation in building scalable backend services using FastAPI, microservices architecture, REST APIs, Auth/KYC flows, wallet and payment services, notification systems, Redis, Docker, and CI/CD pipelines.
Agent Systems & Multi-Agent Architectures
Design and implementation of multi-agent architectures with session and dialog management, short-term and long-term memory (STMs/LTMs), and tool-use agents using LangChain and LangGraph.
Programming Languages & Frameworks
Proficiency in Python, Go, and SQL, with hands-on experience using FastAPI, LangChain, and LangGraph for building AI-powered and backend applications.
ML & Data Engineering
Practical experience with PyTorch, scikit-learn, Pandas, NumPy, recommendation systems, sentiment classification, and MLOps workflows including model versioning, continuous evaluation, and automated deployment.
Cloud & DevOps
Hands-on experience with AWS and GCP, Docker-based containerization, CI/CD pipelines, and model versioning and deployment strategies for scalable cloud infrastructure.
Cryptocurrency & Fintech Domain Knowledge
Applied knowledge in cryptocurrency trading and compliance, including KYC flows, regulatory compliance logic, multi-currency wallet and payment services, and AI-driven trading assistant features.
Recommendation & Search Systems
Development of personalised product recommendation engines using collaborative filtering and content-based models, as well as image-based product search systems leveraging embedding models and vector databases.
Experience
Professional experience0 - 5 years
Freelancer since2022
Languages
EnglishNative speaker
Project history
Built the backend for an AI-powered skill assessment platform connecting tech professionals with recruiters using FastAPI. Engineered an AI assessment and proctoring engine integrating Claude (Anthropic) to generate adaptive technical assessments. Implemented the full hire project workflow and used Redis for time-sensitive operations including session state, rate limiting, and notification queuing.
Architected and built the backend of a fantasy sports betting platform supporting live and virtual game modes using FastAPI with containerized microservices on Docker. Owned all core services end-to-end including auth, user management, wallets/payments, notifications, and real-time gameplay. Implemented secure payment and wallet flows with idempotency controls and multi-currency transaction support.
Delivered backend and AI engineering across two parallel product tracks within the Limiance crypto group. Built an AI trading assistant feature on the Limiance exchange using LLM agent architecture with real-time market data feeds, compliance rule checks, and prompt-engineered analysis pipelines using FastAPI and LangChain. Developed auth, KYC, and notification services for a crypto on-ramp/off-ramp product using FastAPI and Go.