Note: The job is a remote job and is open to candidates in USA. h3 Technologies, LLC is seeking a hands-on Full Stack Engineer to design, build, and deliver production-grade platform services for an AI-native enterprise system. The role involves working across frontend engineering, backend services, and AI platforms, ensuring scalable and secure systems in a cloud-native environment.
Responsibilities
- Build modern frontend apps (React or Angular, TypeScript, component architecture)
- Develop backend services and APIs using Python (FastAPI preferred)
- Implement secure REST APIs and real-time communication (WebSockets/streaming)
- Ensure clean separation of concerns across frontend, API, and data layers
- Build layered backend architectures using FastAPI and dependency injection
- Implement asynchronous data access patterns and high-performance APIs
- Define API contracts, validation models (Pydantic), and error handling standards
- Implement authentication and authorization using JWT, OAuth, IAM
- Build backend services as tools and APIs for AI agent workflows
- Design APIs providing structured, deterministic data to LLM orchestration layers
- Support Human-in-the-Loop (HITL): approvals, callbacks, state management
- Integrate with tool-calling frameworks and external AI orchestration systems
- Enable agent observability via structured logging, tracing, and correlation IDs
- Build responsive, accessible UI components
- Implement state management (Redux Toolkit, Zustand, NgRx, etc.)
- Integrate APIs, handle auth flows, and optimize performance
- Write unit and integration tests (Jest, React Testing Library, Angular equivalents)
- Build and deploy services on GCP (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
- Design and implement data access across:
- Relational databases (PostgreSQL / AlloyDB)
- Graph database (Spanner), NoSQL (Firestore)
- Caching (Redis) and analytics (BigQuery)
- Integrate with enterprise systems (SAP, Microsoft Graph, internal APIs)
- Build resilient integrations with retry, timeout, and fault handling
- Collaborate closely with AI/ML engineers on agent workflows
- Participate in design discussions, code reviews, and architecture decisions
- Deliver production-quality, scalable, and maintainable systems
- Write comprehensive tests (pytest, pytest-asyncio, Jest)
- Cover edge cases, failure scenarios, and asynchronous workflows
- Follow best practices for code quality, observability, and maintainability
Skills
- 8+ years of full stack software engineering experience
- Strong frontend experience with React or Angular (TypeScript)
- Solid backend development with Python (FastAPI, Flask, or Django)
- Production-grade APIs, microservices, and distributed systems
- Agentic AI concepts: LangGraph, LangChain, tool-calling workflows
- REST APIs, async programming, relational and graph databases
- Hands-on with at least one major cloud provider (GCP preferred)
- Strong testing practices and Git-based workflows
- LangGraph or similar agent orchestration frameworks
- Human-in-the-Loop (HITL) workflow patterns
- Model Context Protocol (MCP) or tool integration patterns
- Real-time systems (WebSockets, streaming architectures)
- GCP services: Firestore, Pub/Sub, BigQuery, Cloud Run
- Distributed caching and concurrency patterns (Redis)
Company Overview
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