Our client is seeking an experienced AI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The successful candidate will play a key role in building AI-powered applications, Generative AI solutions, intelligent agents, and scalable machine learning systems.

Requirements

Key Responsibilities

• 
  Design, develop, and deploy AI and Machine Learning models.
• 
  Build and maintain Generative AI applications and AI-powered solutions.
• 
  Develop Proof of Concepts (POCs) and Minimum Viable Products (MVPs).
• 
  Implement Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) architectures.
• 
  Develop AI agents and workflow automation solutions.
• 
  Collaborate with Data Scientists, Engineers, and Business Stakeholders.
• 
  Monitor and optimize AI model performance.
• 
  Ensure AI solutions meet governance, security, and compliance requirements.
• 
  Deploy AI workloads within cloud environments.

Minimum Requirements

• 
  Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
• 
  5+ years of software development experience.
• 
  3+ years of hands-on AI/ML engineering experience.
• 
  Strong Python development skills.
• 
  Experience with machine learning frameworks such as:
  • 
    TensorFlow
  • 
    PyTorch
  • 
    Scikit-Learn

Technical Skills

Essential

• 
  Python
• 
  Machine Learning
• 
  Deep Learning
• 
  Generative AI
• 
  Large Language Models (LLMs)
• 
  Prompt Engineering
• 
  RAG Architectures
• 
  Vector Databases
• 
  API Development
• 
  Docker
• 
  Git

Preferred

• 
  AWS AI Services
• 
  Amazon Bedrock
• 
  SageMaker
• 
  LangChain
• 
  LangGraph
• 
  OpenAI APIs
• 
  Anthropic Claude
• 
  MLOps
• 
  Kubernetes

Nice to Have

• 
  AWS Certification
• 
  AI/ML Certifications
• 
  Experience developing AI Agents
• 
  Experience with enterprise AI deployments

Key Competencies

• 
  Analytical Thinking
• 
  Problem Solving
• 
  Innovation
• 
  Stakeholder Engagement
• 
  Communication Skills
• 
  Continuous Learning