AI Engineer

Posted 21 Days Ago
Be an Early Applicant
Nairobi, KEN
In-Office
Mid level
Fintech • Information Technology • Consulting • Financial Services
The Role
Design, build, and deploy AI-powered applications and scalable backend services. Develop and optimize ML/DL models, integrate LLMs, implement RAG and AI agents, evaluate model performance, and apply AI governance and security best practices while collaborating with cross-functional teams.
Summary Generated by Built In

We are seeking forward-thinking AI Engineers to join our talent network for future opportunities. Candidates will be evaluated for upcoming projects involving Artificial Intelligence, Machine Learning, Generative AI, automation, and intelligent software systems.

Responsibilities
  • Design, develop, and deploy AI-powered applications and solutions.
  • Build and optimize machine learning and deep learning models.
  • Develop and integrate Large Language Model (LLM) solutions into business applications.
  • Create scalable APIs and backend services supporting AI functionality.
  • Implement Retrieval-Augmented Generation (RAG) and AI agent workflows.
  • Collaborate with software, product, and business teams to identify AI use cases.
  • Evaluate model performance and continuously improve system accuracy and efficiency.
  • Apply best practices in AI security, governance, and responsible AI development.
  • Stay current with emerging AI technologies, frameworks, and industry trends.



RequirementsQualifications
Required
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
  • Strong proficiency in Python and modern software development practices.
  • Understanding of Machine Learning, Deep Learning, and Generative AI concepts.
  • Experience working with AI frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Knowledge of REST APIs, databases, and cloud-based architectures.
  • Strong analytical, problem-solving, and communication skills.
Preferred
  • Experience with Large Language Models (LLMs) and Generative AI applications.
  • Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Experience with vector databases and semantic search technologies.
  • Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.
  • Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform.
  • Personal, academic, or commercial AI projects demonstrating practical application of AI technologies.
Notice

This posting is intended solely for talent sourcing and future recruitment needs. It does not represent an active vacancy at this time. Candidate profiles may be considered for future opportunities as they become available.



Skills Required

  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field
  • Strong proficiency in Python
  • Understanding of Machine Learning, Deep Learning, and Generative AI concepts
  • Experience with AI frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Knowledge of REST APIs, databases, and cloud-based architectures
  • Strong analytical, problem-solving, and communication skills
  • Experience with Large Language Models (LLMs) and Generative AI applications
  • Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks
  • Experience with vector databases and semantic search technologies
  • Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices
  • Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform
  • Personal, academic, or commercial AI projects demonstrating practical application
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The Company
50 Employees
Year Founded: 2017

What We Do

FinSense Africa is a Nairobi-based financial technology company that specializes in digital transformation and open banking solutions. The firm focuses on accelerating innovation within the financial services industry across Africa by providing API integration, modernizing core systems, and offering experienced tech consultants to help banks and financial institutions overcome talent shortages and scale their digital capabilities.

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