Aws Engineer - Python & Golang (AwsEng2) (MI)

JOB DESCRIPTION:

Responsible for implementing new features and enabling capabilities using modern information technology engineering tools and practices.   

You’ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. We value engineers who are curious, collaborative, and willing to tackle hard problems using modern technologies and scalable design patterns. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience 

We are looking for a Senior Cloud AI Software Engineer to join our Public Cloud Engineering team. In this role, you’ll help design, build, and maintain secure, scalable AI/ML solutions on AWS with a focus on production-grade infrastructure, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) systems. 

Duties and Responsibilities: Hands-on role, responsible for the implementation of AWS cloud services including infrastructure, machine learning and artificial intelligence platform services.   Engineer and deploy end-to-end AI/ML services using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3). Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks. Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing. Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems. Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform). Support the development and evolution of reusable platform components for AI/ML operations. Create and maintain technical documentation for the team to reference and share with our internal customers.

Minimum Knowledge and Skills Required: 7+ years of hands-on software engineering experience with a strong focus on Python and GoLang. 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 experience with AWS organizations and policy guardrails (SCP, AWS Config) Solid experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain.  Demonstrated experience in Infrastructure as Code best practices and experience with 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   AWS or relevant cloud certifications is a plus.Policy as Code development (I.e. Terraform Sentinel) is a plus.Experience with Hugging Face, Node.js is a plus.Exposure to FinOps and cloud cost optimization is a plus. Data science background or experience working with structured/unstructured data is a plus.Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment) is a plus.

Must Have Skills: AWS Services -  BedrockSageMakerECSLambdaDemonstrated Experience with AWS Organizations and Policy Guardrails (SCP, AWS Config)Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChainExperience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloudFine-tuning large language models, building datasets and deploying ML models to productionGit-based version control, code reviews, and DevOps workflowsNice To Have Skills: AWS Relevant Cloud CertificationsData Privacy and Compliance Best Practices (pll handling, secure model deployment) Data Science Background or Experience Working w/ Structured/Unstructured Data Exposure to FinOps and Cloud Cost Optimization Hugging Face, Node.jsPolicy as Code Development (Terraform Sentinel)