onsite
Senior AI Engineer - Softchoice
AI Engineer
Senior AI Engineer designing and deploying cloud‑native AI and LLM solutions on AWS, building robust pipelines, and ensuring high‑quality, scalable architectures for internal business and employee use.
About the role
Key Responsibilities
- Design, develop, and maintain cloud‑native AI and LLM services on AWS, delivering code, templates, and scripts that enable consistent, high‑quality experiences for internal stakeholders.
- Architect end‑to‑end solutions that integrate state‑of‑the‑art machine learning models with existing business workflows, ensuring scalability, reliability, and security.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications, providing guidance on best practices for model deployment, monitoring, and governance.
- Establish and enforce architectural standards, performance benchmarks, and operational excellence metrics across the internal AI platform.
- Lead continuous improvement initiatives, experimenting with emerging AI technologies and optimizing existing pipelines for efficiency and cost.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python and AWS services (SageMaker, Lambda, ECS/EKS).
- Proven expertise in building and deploying large language models (LLMs) and related inference pipelines.
- Deep understanding of cloud‑native architecture, containerization, and CI/CD practices.
- Excellent problem‑solving skills and ability to translate complex business problems into technical solutions.
- Strong communication skills and a collaborative mindset for working with cross‑functional teams.
Skills
pythonawsmachine learningllm