AI - Full Stack Engineer

BC Forward
Dallas, TX, United States
30 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$166,400.0 - $184,870.0
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Cloud Engineering Code Review Data Security Relational Databases Dependency Injection Distributed Systems
+43 more
Django Web Framework Graph Database Design of User Interfaces Identity and Access Management Intrusion Detection Systems Python (Programming Language) PostgreSQL NoSQL OAuth Redis Azure Active Directory Distributed Caching JSON Web Token SAP (Applications) Software Engineering Data Streaming Systems Integration TypeScript Web Application Frameworks WebSocket WebRTC Data Logging Enterprise Software Applications Real Time Systems ReactJS Flask (Web Framework) Large Language Models Concurrency Firebase Backend Fastapi Build Management Pytest AngularJS Git Flow Material UI Integration Tests Google Cloud Functions Front End Software Development React Redux Virtual Agents React Testing Library Microservices

Job description

We are seeking a Full Stack Engineer to join our dynamic team. The ideal candidate will have strong experience in modern frontend frameworks, Python-based backend services, and cloud-native architectures and a proven ability to design, build, and operate production-grade platform services that support AI agent workflows., * Design and build modern frontend applications using React or Angular with TypeScript, component-driven architecture, and state management.

  • Develop backend services and APIs using Python (FastAPI preferred) with secure, scalable REST and real-time communication via WebSockets or streaming.
  • Own end-to-end stack layers including APIs, data access, and user interfaces with clear separation of concerns.
  • Build backend tools and APIs that power agentic AI workflows and orchestration systems such as LangGraph.
  • Design deterministic, structured APIs for LLM orchestration and support Human-in-the-Loop approval flows, callbacks, and state management.
  • Enable observability of agent workflows with structured logging, tracing, and correlation IDs.
  • Implement layered backend architectures with dependency injection, async data access, validation models (Pydantic), and robust error handling.
  • Implement authentication and authorization using JWT, OAuth, and IAM patterns.
  • Build responsive, accessible UI components with state management (Redux Toolkit, Zustand, NgRx) and integrate secure API and auth flows.
  • Write unit and integration tests across frontend and backend (Jest, React Testing Library, pytest, pytest-asyncio).
  • Build and deploy services on GCP (preferred), AWS, or Azure using event-driven patterns such as Pub/Sub and managed services.
  • Ensure secure configuration, secret management, scalability, and observability in production systems.
  • Design and implement data access for relational databases (PostgreSQL/AlloyDB), graph databases (Spanner), NoSQL stores (Firestore), caching (Redis), and analytics (BigQuery).
  • Integrate with enterprise systems including SAP, Microsoft Graph, and internal APIs with resilient retry, timeout, and fault handling.

Requirements

  • 8+ years of full stack software engineering experience.
  • Strong frontend experience with React or Angular using TypeScript.
  • Solid backend development with Python frameworks such as FastAPI, Flask, or Django.
  • Proven delivery of production-grade APIs and microservices with async programming and distributed systems concepts.
  • Experience with agentic AI concepts such as LangGraph, LangChain, and tool-calling workflows.
  • Proficiency with relational databases and graph databases.
  • Hands-on experience with a major cloud provider, preferably GCP.
  • Strong testing practices across frontend and backend.
  • Experience with Git-based workflows and code reviews.

Preferred Skills:

  • Hands-on experience with LangGraph or similar agent orchestration frameworks.
  • Experience with Human-in-the-Loop workflow patterns and MCP or tool integration approaches.
  • Experience with real-time systems including WebSockets and streaming architectures.
  • Strong experience with GCP services such as Firestore, Pub/Sub, BigQuery, and Cloud Run.
  • Knowledge of distributed caching and concurrency patterns using Redis.
  • Experience integrating with enterprise identity systems such as Azure AD or MSAL.

Benefits & conditions

  • Competitive compensation and benefits.
  • Opportunities for growth with global clients.
  • A supportive, inclusive culture that values innovation and people.
  • Exposure to cutting-edge technologies and projects.

About the company

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

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