AI Engineer
Role details
Job location
Tech stack
Job description
We are seeking a skilled AI Engineer to support the rollout, integration, and operationalization of Claude Code across engineering teams. The role focuses on enabling Large Language Model (LLM)-based development workflows using AWS Bedrock, ensuring scalable deployment on Kubernetes, and providing ongoing technical support and optimization. This position plays a critical role in driving enterprise adoption of Generative AI tools while ensuring reliability, security, and developer productivity., + Support the rollout and adoption of Claude Code across engineering teams.
- Design, integrate, and operate LLM-powered workflows using AWS Bedrock.
- Develop backend services and automation using GoLang.
- Deploy, manage, and scale GenAI services on Kubernetes.
- Provide technical guidance and troubleshooting for GenAI-related issues.
- Collaborate with DevOps, Platform, and Security teams to ensure compliant and efficient deployments.
- Monitor performance, usage, and cost of LLM workloads; optimize where necessary.
- Create and maintain technical documentation, runbooks, and best practices.
- Stay updated with advancements in GenAI, LLMs, and AWS AI services.
Requirements
- Strong experience with AWS, including IAM, networking, and observability.
- Hands-on experience with AWS Bedrock and managed LLM services.
- Solid understanding of Large Language Models (LLMs) and GenAI use cases.
- Proficiency in GoLang for backend development and tooling.
- Strong experience with Kubernetes (deployment, scaling, troubleshooting).
- Experience supporting or running GenAI/ML platforms in production.
- Understanding of CI/CD pipelines and cloud-native architectures.