Full Stack Engineer-PLACEMENT

Job#: 3032385

Job Description:

Apex Systems is seeking multiple Full Stack Engineers to help support our client's AI practice!

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 (Lang Graph). 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.

• Design and build modern frontend applications using React or Angular (Type Script, 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 (Web Sockets / streaming)
• Ensure clean separation of concerns across frontend, API, and data layers

• 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

• 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

• 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)

• 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 (Postgre
    
    SQL / Alloy
    
    DB)
  • Graph database (Spanner)
  • No
    
    SQL stores (Firestore or equivalent)
  • Caching layers (Redis)
  • Analytical systems (Big Query or equivalent)
• Integrate with enterprise systems (e.g., SAP, Microsoft Graph, internal APIs)
• Build resilient integrations with retry, timeout, and fault handling patterns

• 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

• 8+ years of experience in full stack software engineering
• Strong frontend experience with React or Angular (Type Script)
• Solid backend development experience with Python (FastAPI, Flask, or Django)
• Experience building and deploying production‑grade APIs and microservices
• Experience with agentic AI concepts (e.g., Lang Graph, Lang Chain, tool‑calling workflows)
• Strong understanding of REST APIs, async programming, and distributed systems
• Experience with relational databases and graph databases
• Hands‑on experience with at least one major cloud provider (GCP preferred)
• Strong testing practices across frontend and backend
• Experience with Git‑based workflows and code reviews

• Hands‑on experience with Lang Graph or similar agent orchestration frameworks
• Experience with Human‑in‑the‑Loop (HITL) workflow patterns
• Familiarity with Model Context Protocol (MCP) or tool integration patterns
• Experience with real‑time systems (Web Sockets, streaming architectures)
• Strong experience with GCP services (Firestore, Pub/Sub, Big Query, Cloud Run)
• Knowledge of distributed caching and concurrency patterns (Redis)
• Experience integrating with enterprise identity systems (Azure AD / MSAL)

• 100% hands‑on engineering role (no people management)
• Collaborate closely with AI/ML engineers on agent workflows and integrations
• Participate actively in design discussions, code reviews, and architecture decisions
  
  Deliver production‑quality, scalable, and maintainable systems