Application Development Analyst

📋 Description

• Build agentic workflows with LangGraph to solve complex business tasks.
• Gemini Enterprise: implement LLM interactions; prompt engineering and outputs.
• State and memory management: design agent state, persistence, and human-in-the-loop checks.
• Backend development: production-grade Python APIs and services powering internal AI ecosystem.
• RAG and grounding: build RAG pipelines for real-time enterprise context.
• Infrastructure and deployment: deploy on GCP using Docker/Kubernetes and Terraform.
• Operational excellence: enforce testing, security, and CI/CD for production readiness.

🎯 Requirements

• Professional Python core: 2–4 years of software engineering with Python and async tooling.
• AI framework mastery: hands-on with LangGraph (or LangChain); build cycles, nodes, and edges.
• LLM practicality: experience with Gemini or GPT-4; manage prompts and token constraints.
• System design foundations: distributed systems, cloud-native architectures, RESTful APIs.
• Problem-solving autonomy: drive defined workflows to production with minimal oversight.
• Collaborative spirit: strong communication and cross-team collaboration.

🎁 Benefits

• Build with purpose: meaningful problems that secure Okta at global scale.
• Cutting-edge stack: work with Gemini and LangGraph for agentic orchestration.
• Grow in a technical culture: team values clean code and personal development.