The Role
Develops and deploys AI solutions across the full lifecycle, including data preparation, machine learning and deep learning model development, LLM applications, RAG systems, AI agents, third-party API integrations, production deployment, monitoring, and optimization. Collaborates with product, engineering, and design teams to identify high-impact AI use cases and documents experiments, architecture, and performance.
Summary Generated by Built In
Summary
We are seeking a dedicated AI Engineer to spearhead the development and implementation of intelligent capabilities within our product ecosystem. This position offers the opportunity to engage in the complete lifecycle of AI solutions, ranging from initial problem definition and data preparation to model construction, large language model integration, and reliable production deployment. The ideal candidate will balance a strong commitment to technical precision with a practical focus on delivering tangible business value. This role is pivotal for bridging the gap between advanced artificial intelligence and real-world user needs, ensuring that our technological innovations translate into effective, scalable solutions.
Responsibilities
- Design, train, fine-tune, and assess machine learning and deep learning architectures for diverse applications, including natural language processing, computer vision, predictive analytics, and classification tasks.
- Develop and deploy applications leveraging large language models, such as conversational agents, retrieval-augmented generation (RAG) platforms, autonomous AI agents, and streamlined automated processes.
- Seamlessly integrate third-party AI APIs and open-source model repositories into existing product frameworks to enhance functionality and performance.
- Manage the end-to-end data lifecycle, including the collection, cleansing, labeling, and pipeline construction required for both model training and real-time inference.
- Engineer robust deployment pipelines for models using containerization and cloud infrastructure, ensuring high availability and scalability via API services.
- Continuously monitor deployed systems for performance metrics, operational costs, and latency, implementing iterative improvements to maintain optimal efficiency.
- Collaborate cross-functionally with product management, engineering, and design teams to pinpoint high-impact opportunities where AI can address specific user challenges.
- Maintain comprehensive documentation regarding experimental methodologies, architectural decisions, and model performance outcomes.
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The Company
What We Do
Jobberman is Nigeria's leading career development and recruitment solutions company, focusing on connecting qualified job seekers with verified employers. Headquartered in Lagos, Nigeria, the company operates as an online job marketplace and career portal. It provides comprehensive online career development support, training services, and personalized HR solutions designed to empower job seekers and assist employers in finding the right talent.
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