Teams at Cogniify

Build and operate generative AI applications using .NET/C# or Java, Python, LLM APIs, RAG, and agentic workflows. Develop prompts, tools, and AI application logic; create GitHub Actions CI/CD pipelines; automate AWS infrastructure with Terraform; and deploy containerized services on Kubernetes and Amazon EKS. Monitor production systems, troubleshoot incidents, improve security and observability, and collaborate with engineering and business teams.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality, use Python for supporting work, and apply AI coding tools such as Claude Code for development, testing, and debugging. Collaborate on design decisions and code reviews, troubleshoot issues, and support application deployment and maintenance across cloud environments.