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Java With AI
Location: TX (Remote / Onsite if required by the client)
Job Description:
We are seeking a hands-on Full Stack Engineer to design, build, and deliver production-grade platform services for an AI-native enterprise system.
This role sits at the intersection of frontend engineering, backend services, and agentic AI platforms, supporting AI agents and orchestration workflows (LangGraph). You will work across the full stack owning APIs, data layers, and user interfaces while ensuring scalable, secure, and observable systems in a cloud-native environment.
This is a 100% hands-on role, focused on building and operating production systems end-to-end.
Key Responsibilities:
Design and build modern frontend applications using React or Angular (TypeScript, component-driven architecture, state management)
Develop backend services and APIs using Python (FastAPI preferred) or similar frameworks
Implement secure, scalable REST APIs and real-time communication (WebSockets / streaming)
Ensure clean separation of concerns across frontend, API, and data layers
Agentic AI Platform Integration
Build backend services that act as tools and APIs for AI agent workflows
Design APIs that provide structured, deterministic data to LLM-based orchestration layers
Support Human-in-the-Loop (HITL) workflows, including approval flows, callbacks, and state management
Integrate with tool-calling frameworks and external AI orchestration systems
Enable observability of agent workflows through structured logging, tracing, and correlation IDs
Backend & API Engineering
Develop layered backend architectures using FastAPI, dependency injection, and clear interface boundaries
Implement asynchronous data access patterns and high-performance APIs
Define and enforce API contracts, validation models (e.g., Pydantic), and error handling standards
Implement authentication and authorization using JWT, OAuth, IAM
Frontend Engineering
Build responsive, accessible UI components
Implement state management (Redux Toolkit, Zustand, NgRx, etc.)
Integrate APIs, handle authentication flows, and ensure performance optimization
Write unit and integration tests (Jest, React Testing Library, or Angular equivalents)
Cloud-Native Development
Build and deploy services on Google Cloud Platform (preferred), AWS, or Azure
Implement event-driven architectures (Pub/Sub, messaging systems)
Work with managed services for compute, storage, and data processing
Ensure secure configuration, secret management, and scalable deployments
Data Layer & Integration
Design and implement data access across:
Relational databases (PostgreSQL / AlloyDB)
Graph database (Spanner)
NoSQL stores (Firestore or equivalent)
Caching layers (Redis)
Analytical systems (BigQuery or equivalent)
Integrate with enterprise systems (e.g., SAP, Microsoft Graph, internal APIs)
Build resilient integrations with retry, timeout, and fault handling patterns
Testing & Quality Engineering
Write comprehensive unit and integration tests (pytest, pytest-asyncio, Jest)
Cover edge cases, failure scenarios, and asynchronous workflows
Follow best practices for code quality, observability, and maintainability
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