DevOps AI Application Engineer - USA

Cogniify, Inc.; Austin (TX); Hybrid; USD 114,000 - 124,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Stock Purchase Program (ESPP)

Medical, Dental and Vision coverage

Team building experiences

Mentorship and sponsorship

Job summary

Cogniify, Inc. is seeking a hands-on Senior AI DevOps Engineer to design, secure, and deploy agentic AI applications within an enterprise financial services context.

You will work at the intersection of modern software engineering, generative AI, and cloud platform operations. You will build resilient backend services using .NET/C# (or Java), orchestrate multi-step LLM workflows including Claude API, and own end-to-end AWS infrastructure with EKS, Terraform, and CI/CD.

Qualifications

• 6 years of hands-on experience building, scaling, and automating production environments on AWS.
• Experience with Kubernetes (EKS), Terraform, and GitHub Actions CI/CD.
• Strong .NET / C# (or Java) backend engineering skills.
• Experience deploying Generative AI systems in production with LLM APIs and RAG pipelines.
• Proficiency in Python and shell scripting for workflow orchestration.
• Focus on security, cost tracking and observability in production systems.

Responsibilities

• Design and implement production-ready GenAI applications, RAG pipelines, and agentic workflows.
• Write clean, resilient microservices in .NET / C# (or Java) with Python for model integration.
• Build automated GitOps CI/CD pipelines via GitHub Actions and manage containerized workloads on Amazon EKS.
• Architect and maintain repeatable cloud environments on AWS using Terraform.
• Implement real-time monitoring, cost tracking, token optimization, and security controls across all deployed pipelines and models.

Skills

AWS

Kubernetes (EKS)

Terraform

GitHub Actions

.NET/C#

Java

Python

GenAI / LLM

RAG pipelines

Tool-calling

Security & Observability

CI/CD

Tools

Claude API

OpenAI

AWS Bedrock

Job description

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

The Role

We are looking for a hands-on Senior AI DevOps Engineer to design, secure, and deploy agentic AI applications within an enterprise financial services environment.

In this role, you will sit right at the intersection of modern software engineering, generative AI, and cloud platform operations. You will build resilient backend services using .NET / C# (or Java), orchestrate multi-step LLM workflows (including the Claude API), and own complete end-to-end cloud infrastructure on AWS (EKS, Terraform, CI/CD).

What You’ll Do

• Build Agentic AI Workflows: Design and implement production-ready GenAI applications, RAG pipelines, and agentic workflows utilizing tool-calling, custom guardrails, and LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock).
• Enterprise Backend Engineering: Write clean, resilient microservices in .NET / C# (or Java), with Python for model integration and data orchestration.
• Cloud & Platform Operations: Build automated GitOps CI/CD pipelines via GitHub Actions and manage containerized workloads on Amazon EKS (Kubernetes).
• Infrastructure as Code (IaC): Architect and maintain repeatable cloud environments on AWS using Terraform.
• Observability & Security: Implement real-time monitoring, cost tracking, token optimization, and security controls across all deployed pipelines and models.

What We’re Looking For

• DevOps & CloudEngineering: 6 years of hands-on experience building, scaling,and automating production environments on AWS using Kubernetes (EKS), Terraform (IaC), and GitHub Actions CI/CD pipelines .
• Application &Runtime Support (.NET / C#): Strongengineering proficiency with .NET / C# (or Java) application runtimes, packaging,containerization, and backend integration .
• AI Platform &Operationalization: Direct experience deploying and managingGenerative AI systems in production, including LLM APIs, RAG pipelines, promptframeworks, and model serving .
• Automation &Scripting: Solid proficiency in Python and shell scripting for workfloworchestration, automation, and AI integrations .
• Site Reliability& Governance: Dedicated focus on enterprise-grade security,secrets management, cloud cost control, latency, and system observability .

Nice to Have

• Experience with multi-step tool-calling agents and the Claude API.
• Hands-on work with vector databases (Pinecone, pgvector, OpenSearch) or AWS Bedrock.
• Background in financial services or regulated high-compliance industries.
• AWS Certifications (Solutions Architect or DevOps Engineer).

What We Offer

• Work directly on live, mission-critical generative AI implementations with top-tier enterprise clients.
• High ownership across the full stack—from backend architecture to cloud runtime.
• Collaborative engineering culture focused on rapid innovation and career development.

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
• 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.