Job description

work Full-time distance Hybrid location_on Austin, TX payments $114,000 – $123,500 / yr 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. Apply for this role Tell us about yourself and we'll be in touch.

Requirements

Must-haves

work Full-time distance Hybrid location_on Austin, TX payments $114,000 – $123,500 / yr
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
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.

Nice-to-haves

Strong software engineering experience with .NET/C# preferred; strong Java experience is also welcome.
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
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
Mental health and wellbeing support
Annual bonus program
Employer Stock Purchase Program (ESPP)
Yearly Team building experiences

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsjavapythonapici/cdkubernetesllm

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Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Parental Leave