DevOps AI application manager - USA

Cogniify•Austin, TX
•$138,000 - $149,000•Onsite

About The Position

Cogniify is hiring an AI Application Engineer in Austin, Texas. We are looking for a hands-on software engineer who can build Generative AI features, integrate them into enterprise applications, and run them reliably on AWS. You should be comfortable writing production code in .NET and C#, or Java, and working across AI development, cloud infrastructure and DevOps. This role is for someone who enjoys building the application and taking responsibility for how it performs after deployment.

Requirements

  • Strong software engineering experience with .NET/C# preferred; strong Java experience is also welcome.
  • Hands-on experience building and deploying Generative AI applications, including LLM integrations, RAG and AI agents.
  • Experience integrating the Claude API or comparable LLM APIs into application workflows.
  • Working knowledge of Python for connecting models, tools and application services.
  • Practical experience deploying and supporting production applications on AWS.
  • Hands-on DevOps skills across CI/CD, GitHub Actions, Kubernetes or Amazon EKS, and Terraform or similar infrastructure as code.
  • A clear understanding of monitoring, application security and how to keep cloud applications stable in production.

Nice To Haves

  • Claude tool use, prompt engineering and evaluating AI outputs in production.
  • GitOps workflows and observability tools used in production environments.
  • Experience integrating AI capabilities into existing enterprise .NET or Java applications.

Responsibilities

  • Build AI-enabled application features and services using .NET/C# or Java, with Python where needed for AI integrations.
  • Integrate large language models and AI APIs, including the Claude API, into applications and business workflows.
  • Develop retrieval-augmented generation (RAG) and agentic AI workflows that use business data to answer questions or complete tasks.
  • Design prompts, tools and application logic for AI agents, then test their outputs, reliability and behavior.
  • Build and maintain CI/CD pipelines using GitHub Actions, and automate AWS infrastructure with Terraform or other infrastructure as code tools.
  • Deploy and operate containerized applications on Kubernetes, including Amazon EKS, using sound GitOps practices.
  • Monitor application health, logs and performance; troubleshoot incidents and improve security, observability and production reliability.
  • Work with engineering and business teams to turn use cases into working applications and communicate progress clearly.

Benefits

  • Unlimited PTO.
  • Generous parental leave, much above industry standards.
  • Entrepreneurial culture where pushing limits and taking risks is everyday business.
  • Open communication with management and company leadership.
  • Small, dynamic teams = massive impact.
  • Medical, Dental and Vision coverage for employees.
  • Access to Disability & Life insurance.
  • Mental health and wellbeing support.
  • Annual bonus program.
  • Employer Stock Purchase Program (ESPP).
  • Yearly Team building experiences.
  • Mentorship and sponsorship opportunities.
  • Manager resources and support.
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