DevOps AI application manager - USA Onsite (Austin, TX)

Dover; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Entrepreneurial culture

Open communication

Small teams

Medical coverage

Dental coverage

Vision coverage

Disability insurance

Life insurance

Mental health support

Annual bonus

ESPP

Team building

Mentorship

Manager support

Job summary

Cogniify is hiring an AI Application Engineer in Austin, Texas. You will build Generative AI features, integrate them into enterprise apps, and run them reliably on AWS. You should write production code in .NET/C# or Java, with Python for AI integrations.

You will develop AI workflows including LLM integrations, RAG, and AI agents, design prompts and monitoring, and manage CI/CD pipelines with GitHub Actions, plus IaC with Terraform. Experience on Kubernetes/EKS and cloud security is valued.

Qualifications

• Strong software engineering experience with .NET/C# and Java.
• Hands-on experience with Generative AI applications, LLMs, RAG, and AI agents.
• Experience integrating Claude or similar LLM APIs into workflows.
• Python used for connecting models and services.
• Production AWS deployment experience and DevOps practices.
• CI/CD with GitHub Actions; Kubernetes or EKS; Terraform as IaC.
• Understanding of monitoring, security and production reliability.

Responsibilities

• Build AI-enabled features using .NET/C# or Java with Python for AI integrations.
• Integrate LLMs and APIs into applications and workflows.
• Develop RAG and agentic AI workflows using business data.
• Design prompts, tools and logic for AI agents; test outputs and reliability.
• Build CI/CD pipelines with GitHub Actions and automate AWS infrastructure with IaC.
• Deploy and operate containerized apps on Kubernetes (EKS) with GitOps practices.
• Monitor health, logs and performance; troubleshoot incidents and improve security.
• Collaborate with engineering and business teams to translate use cases into working applications.

Skills

.NET/C# experience

Java experience

LLM integrations

Python for AI

AWS deployment

Kubernetes / EKS

GitHub Actions

Terraform

Tools

Claude API

Kubernetes (EKS)

Terraform

Job description

The Role

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.

What You Will Do

• 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.

What We Are Looking For

• 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.

Preferred Experience

• 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.

Perks And Benefits Of Working With Us

• Unlimited PTO.
• Please ask us about our very 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

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.