AWS Cloud Engineer(Remote)

Job Description:

Must Have Skills:

• AWS services- Bedrock, SageMaker, ECS and Lambda
• Demonstrated contributions to open-source AI/ML/Cloud projects
• Demonstrated proficiency in Python and Golang coding languages
• Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain
• LLM
• PhD. in AI/ML/Data Science

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

• 10+ years of proven software engineering experience with a strong focus on Python and GoLang and/or Node.js.
• Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones).
• Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain not just experimentation in a notebook.
• PhD. in AI/ML/Data Science and/or named inventor on pending or granted patents in machine learning or artificial intelligence.
• Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
• Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
• Demonstrated success delivering production-ready software with release pipeline integration.

NICE-TO-HAVES:

• Policy as Code development (i.e., Terraform Sentinel) to manage and automate cloud policies, ensuring compliance
• Experience optimizing cost-performance in AI systems (FinOps mindset).
• Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).
• Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).