Applied AI Engineer
Sasso Consulting (Pty) Ltd
applied-ai-engineering
machine-learning-engineering
ai-engineering
llm-engineering
mlops-engineering
applied-ai
machine-learning
mlops
python
tensorflow
pytorch
api
docker
Job details
- Company
- Sasso Consulting (Pty) Ltd
- Location
- United States
- Remote
- Yes
- Field
- Data
- Source
- via Himalayas
Posted
April 26, 2026
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About this role
Applied AI Engineer
Location: Remote
Employment Type: Full-Time
Start Date: ASAP
Salary: Competitive (based on experience)
About the Role
We are looking for a highly skilled Applied AI Engineer to design, build, and deploy AI-driven solutions that solve real-world business problems. This role sits at the intersection of machine learning, software engineering, and product development, focusing on taking AI models from concept to production.
You will work closely with cross-functional teams to integrate AI into products, optimise performance, and deliver scalable, high-impact solutions.
Key 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
Advantageous Skills
- 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
What We're Looking For
- A problem-solver who can translate business needs into AI solutions
- Someone who can move beyond theory and deliver production-ready AI systems
- Strong communication skills and ability to work in a remote, collaborative environment
- A passion for staying ahead of the rapidly evolving AI landscape
Why Join
- Work on cutting-edge AI and real-world applications
- Fully remote and flexible working environment
- Opportunity to shape AI strategy and innovation
- Fast-growing, forward-thinking team
Originally posted on Himalayas
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