Job Description

We are seeking a Senior Cloud AI Software Engineer to join our Public Cloud Engineering team. In this role, you’ll help design, build, and maintain scalable, production-ready AI and cloud solutions.

Experience & Skills Required:

7+ years of hands-on software engineering experience, with a strong focus on Python and GoLang.
Deep expertise with AWS services, particularly Bedrock, SageMaker, ECS, and Lambda.
Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid experience implementing RAG architectures and working with frameworks and ML tooling such as: Transformers, PyTorch, TensorFlow, and LangChain.
Experience with Infrastructure as Code best practices and building Terraform modules for AWS cloud.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Demonstrated success delivering production-ready software with release pipeline integration.
Excellent verbal and written communication skills in English.

Other Must Have Skills:

AWS Services: Bedrock, SageMaker, ECS, Lambda
Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
Implementation of RAG architectures and use of ML frameworks/tools (Transformers, PyTorch, TensorFlow, LangChain)
Infrastructure as Code (building Terraform modules for AWS)
Fine-tuning large language models, dataset building, and ML model deployment
Git-based version control, code reviews, and DevOps workflows

Nice to Have:

AWS or relevant cloud certifications
Awareness of data privacy and compliance best practices (PII handling, secure model deployment)
Data science background or experience working with structured/unstructured data
Exposure to FinOps and cloud cost optimization
Experience with Hugging Face, Node.js
Policy as Code development (e.g., Terraform Sentinel)

Bonus: