Artificial Intelligence Engineer

Our Client is seeking an AI Engineer to design, develop, and deploy secure, innovative AI solutions leveraging generative AI, large language models (LLMs), and modern cloud platforms. This role requires a strong foundation in AI/ML engineering, software development best practices, and the ability to work autonomously while collaborating across diverse teams.

• Cloud Integrations:
  Design and implement AI solutions integrated with cloud platforms such as Azure and AWS, ensuring scalability and security.
• AI & ML Pipeline Development:
  Build and optimize end-to-end AI pipelines and ML workflows for training, fine-tuning, and deploying models.
• LLM Development:
  Fine-tune foundation models and/or train custom LLMs; integrate LLMs into enterprise applications and systems.
• Generative AI Solutions:
  Leverage LLMs and related frameworks for application and systems development.
• Secure-by-Design Development:
  Implement robust security practices in software development using modern, high-level languages.
• Performance Evaluation:
  Conduct comprehensive evaluations of AI/ML pipelines, model performance, generative AI capabilities, and code quality; iterate for continuous improvement.
• AI Engineering Operations:
  Apply MLOps and AI engineering best practices, including containerization, CI/CD pipelines, monitoring, and lifecycle management.
• Technical Documentation:
  Produce clear, comprehensive documentation and communicate effectively with both technical and non-technical stakeholders.
• Mentorship & Peer Training:
  Provide guidance, mentorship, and training for team members and peers to foster knowledge sharing and skill development.
• Research & Innovation:
  Participate in research and development initiatives, pilot programs, and innovation sprints to explore novel AI capabilities and opportunities.
• Bachelor’s degree in computer science, Data Science, Engineering, or related field with 3+ years of experience; or a master’s degree with 1+ year of experience in AI/ML-focused development
• Demonstrated experience with cloud-based AI/ML services and tools in Azure and/or AWS environments.
• Hands‑on experience with GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face), LLMs, and agent frameworks (e.g., Lang Chain, Semantic Kernel).
• Proficiency in Python and related AI/ML libraries such as Tensor Flow, PyTorch, or Scikit-learn.
• Familiarity with CI/CD pipelines, containerization (Docker), and Dev Ops for ML (MLOps) practices.

• Proven track record in designing AI/ML pipelines and deploying AI solutions.
• Hands‑on experience with LLM fine‑tuning, generative AI, and secure software development.
• Familiarity with Dev Ops/MLOps tools (Docker, Kubernetes, CI/CD).
• Technical Skills
• Proficiency in Python and frameworks such as Tensor Flow, PyTorch, Scikit-learn.
• Experience with OpenAI, Azure OpenAI, Hugging Face, Lang Chain, Semantic Kernel.
• Knowledge of cloud platforms:
  Azure, AWS; exposure to Power Platform and Microsoft Copilot is a plus.
• Strong communication skills and ability to advocate for projects and departmental goals.

• Ability to work independently and drive initiatives forward.
• Commitment to responsible AI development and secure data handling
• Collaborative mindset with a passion for innovation.