Applied AI Engineer

SASSO CONSULTING is looking for a highly skilled Applied AI Engineer to design, build, and deploy AI-driven solutions that solve real-world business problems. The role involves working closely with cross-functional teams to integrate AI into products, optimize performance, and deliver scalable, high-impact solutions.

Responsibilities:

• Design, develop, and deploy AI/ML models into production environments
• Work with large language models (LLMs), generative AI, and traditional ML systems
• Build and maintain data pipelines and model training workflows
• Integrate AI capabilities into applications via APIs and microservices
• Fine-tune and optimise models for performance, scalability, and cost
• Collaborate with product, engineering, and business teams to define AI use cases
• Monitor model performance and continuously improve outputs
• Ensure best practices in AI governance, ethics, and data privacy

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field
• 3+ years' experience in AI/ML engineering or related roles
• Strong programming skills in Python (essential)
• Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Hands-on experience with LLMs (e.g., OpenAI, Claude, LLaMA) and prompt engineering
• Experience building and deploying models in cloud environments (AWS, Azure, or GCP)
• Familiarity with REST APIs, Docker, Kubernetes, and scalable system design
• Strong understanding of data structures, algorithms, and software engineering principles
• Experience with RAG (Retrieval-Augmented Generation) architectures
• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS)
• Exposure to MLOps tools (MLflow, Airflow, Kubeflow)
• Experience with real-time AI applications (chatbots, recommendation systems, automation)
• Understanding of AI ethics, bias, and responsible AI practices