Senior AI DevOps Engineer (.NET / AWS / GenAI)

About CogniifyCogniify helps enterprise leaders turn Generative AI concepts into secure, high-scale production systems. We bridge the gap between experimental AI prototypes and enterprise-grade reliability. The RoleWe 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 DoBuild 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 ForDevOps & Cloud Engineering: 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#): Strong engineering proficiency with .NET / C# (or Java) application runtimes, packaging, containerization, and backend integration.AI Platform & Operationalization: Direct experience deploying and managing Generative AI systems in production, including LLM APIs, RAG pipelines, prompt frameworks, and model serving.Automation & Scripting: Solid proficiency in Python and shell scripting for workflow orchestration, automation, and AI integrations.Site Reliability & Governance: Dedicated focus on enterprise-grade security, secrets management, cloud cost control, latency, and system observability. Nice to HaveExperience 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 OfferWork 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 UsUnlimited 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 supportAnnual bonus programEmployer Stock Purchase Program (ESPP)Yearly Team building experiencesMentorship and sponsorship opportunitiesManager 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.