Application Engineer IV - Kovr.AI

Black Eagle Defense
Fort Meade, MD, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$190,000.0 - $247,000.0
Working hours
Regular working hours

Tech stack

Software Requirements Analysis Large Language Models Generative AI Kubernetes

Job description

DUTIES As a successful candidate for the Application Engineer IV role, you will support the Secure the Enterprise initiative by developing capabilities that transition the current manual system security evaluation and authorization process to a modern framework emphasizing automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering throughout the entire project lifecycle., * Provide application engineering support to evaluate the utility and effectiveness of large language models (LLMs) within the ATO process

  • Assess, integrate, and optimize LLM capabilities to enhance existing business processes and workflows
  • Support the development, deployment, and sustainment of application engineering solutions leveraging modern DevOps practices
  • Implement and manage containerized applications and container orchestration platforms
  • Collaborate with stakeholders to identify opportunities for automation and process improvement utilizing emerging technologies
  • Analyze system requirements and recommend technical solutions that incorporate LLM technologies and modern application architectures
  • Develop expertise across complementary technical disciplines to support evolving mission requirements
  • Research, evaluate, and apply new technologies to improve operational efficiency and system effectiveness

Requirements

QUALIFICATIONS Ph.D. plus Four (4) years of experience, a Master’s degree plus Six (6) years of experience, a Bachelor’s degree plus Eight (8) years of experience, or an Associate’s degree plus Ten (10) years of professional experience is acceptable. Twelve (12) years of relevant experience are acceptable if the candidate does not possess a degree.

Additional Experience Requirements:

  • Kubernetes
  • Amazon ECS (Elastic Container Service)
  • Generative AI (GenAI)
  • Risk Management Framework (RMF)

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

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Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

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Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

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Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

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