[Hiring] AI Agentic Developer @Georgia IT

Role Description

We are excited about you if you have the following experience:

• AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)
• Generative AI Application Development/Generative AI Design Patterns
• GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI)
• LLM Observability and Tracing (LangFuse, LangSmith, or similar)
• Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs)
• Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM
• React, TypeScript, Zustand state management, Material-UI (MUI)
• Data visualization libraries (Recharts, D3.js)
• MySQL/PostgreSQL databases, query optimization, Alembic migrations
• Git, CI/CD, GitHub Actions, ArgoCD
• Docker and docker-compose
• Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)
• Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)
• Kubernetes and container orchestration
• Grafana, Prometheus Monitoring
• Dynatrace + Splunk working knowledge to setup and monitor service alerts
• RESTful API Design Patterns, OpenAPI/Swagger Documentation
• Experience with markup languages such as JSON and YAML
• UV package manager, Poetry, modern Python tooling

Qualifications

• 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applications
• Proven track record of delivering production AI systems with end-to-end ownership
• Expert-level proficiency with AI coding assistants and agentic development workflows
• Strong full-stack development skills across Python and TypeScript/React ecosystems
• Good communication skills (verbal and written) with ability to articulate complex AI concepts to diverse audiences
• Strong delegation skills with the ability to receive, prioritize, and execute on delegated tasks autonomously
• Proven ability to context-switch between different codebases, tech stacks, and AI platforms efficiently
• Leadership mindset with experience mentoring engineers and driving technical decisions
• Being able to seamlessly integrate new AI technologies and agentic workflows into current work streams
• Intermediate to advanced knowledge of microservice design patterns and trade-offs
• Understanding of responsible AI practices including bias, safety, and ethical considerations
• Experienced on Agile methodology and tools (Jira, Confluence)
• Work experience in the Retail industry is a plus