Ampcus inc

AI Engineer

Ampcus inc$100K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong experience with AWS, including IAM and networking.
  • Hands-on experience with AWS Bedrock and managed LLM services.
  • Solid understanding of Large Language Models (LLMs) and Generative AI use cases.
  • Proficiency in GoLang for backend development.
  • Strong experience with Kubernetes for deployment and scaling.
  • Experience supporting GenAI/ML platforms in a production environment.
  • Understanding of CI/CD pipelines and cloud-native architectures.

Responsibilities

  • 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 Generative AI services on Kubernetes.
  • Provide technical guidance and troubleshooting for Generative AI-related issues.
  • Collaborate with DevOps, Platform, and Security teams for compliant and efficient deployments.
  • Monitor performance and usage of LLM workloads; optimize as necessary.
  • Create and maintain technical documentation and best practices.

Benefits

  • Ongoing technical support and optimization resources.
  • Opportunities to work with cutting-edge Generative AI technology.
  • Collaboration with interdisciplinary teams for efficient project implementation.
Full Job Description
Job Title: AI Engineer

Job Location:Mclean, VA

Job Summary:

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.
  • Key Responsibilities:
    • 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.
  • Required Skills & Qualifications:
    • 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.


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