AI Engineer
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
- TensorFlow
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