Full Stack React Developer (with focus on AI integrations)

This is a hybrid remote position requiring 2 days per week onsite in our Fairfax, Virginia office.

Long-term 5 year project.

Position Summary.

• We are seeking an experienced Full Stack AI and React Developer to lead the development and integration of cutting edge AI Agents, Agentic Workflows and Generative AI services into Front-End React applications.
• In addition to strong React development skills, this role requires proficiency in Python, FastAPI, Gen AI Patterns, Prompt Engineering, Large Language Models (LLMs), RAG and related AI technologies.
• Candidate work alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.

This position REQUIRES the candidate to be either a U.S. Citizen, or green card holder having lived in the U.S. continuously for more than 5 years. (no H1B or H4 visa). - If you do not meet this requirement, do not apply. We cannot hire you for this position.

Security Clearance: This position REQUIRES the ability to obtain a Public Trust security clearance

Core Responsibilities

React Development

• Develop and maintain React single-page applications and integrations with Python backends to integrate cutting edge AI Agents, Agentic Workflows and Gen AI services
• Implement high-performance UI patterns for real-time AI streaming (Server-Sent Events) to ensure a fluid, responsive user experience.
• Design and implement UI components for Retrieval-Augmented Generation (RAG), allowing users to query mission-critical documentation with grounded citations.

Gen AI/ML Development and Integration

• Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.
• Integrate GenAI solutions with enterprise platforms via FastAPI and REST API based methods and GenAI standardized patterns.
• Architect, design, develop, and deploy Python microservices and APIs within an event-driven, cloud-native ecosystem.
• Design and deploy RetrievalAugmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases.
• Build and maintain Jupyterbased notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for productionready deployment.
• Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLMpowered workflows—leveraging best practices like semantic chunking and privacy controls
• Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media
• Implement embeddings drives—map media content to vector representations using embedding models, and integrate with vector stores to support RAG architectures

Required Technical Skills

• Bachelor’s degree in Computer Science, Information Technology, or related field and 6 to 10 years of relevant experience or Masters Degree and 4 to 8 years.
• 2+ years of experience in machine learning, data science, or AI engineering.
• Proven experience integrating frontend applications with AI services (Google Vertex AI, OpenAI, or Azure OpenAI).
• Hands-on experience with LLMs (e.g., VertexAI, OpenAI, Anthropic) and prompt engineering.
• Strong Python development skills including: Building CLIs, automation scripts, and service backends (e.g., FastAPI)
• Strong programming skills in Single Page Applications (ReactJS, JavaScript, TypeScript, CSS, HTML)
• Strong understanding of React UI performance optimization techniques, such as code splitting, lazy loading, and caching
• Experience with building and consuming FastAPI, RESTful APIs and integrating them with UI components
• Excellent knowledge of data modeling, relational and nosql databases (PostgreSQL, Oracle)
• Highly motivated and self-driven professional
• Strong hands-on technical skills with modern technologies
• Strong verbal and written communication skills
• 2+ years of experience with Agile frameworks such as Scrum or Kanban
• 2+ years of experience using task management software such as Jira

Additional Desired Skills

• Strong programming skills in GO
• Experience with Django, FastAPI
• Experience implementing solutions leveraging MCP (Model Context Protocol) and A2A (Agentto-Agent) communication.
• Knowledge of AI UX Best Practices (handling hallucinations, human-in-the-loop validation).
• Experience with Vector & Graph Visualization (D3.js, Recharts) for AI-driven data relationships.
• Experience with Google Cloud (GCP)
• Experience with Oracle Cloud Infrastructure (OCI)
• Experience with event streaming and messaging patterns.
• Experience in "Contract-First" development.
• Prior experience building large, complex federal data-entry systems.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments.

We reserve the right to take your picture to verify your identity and prevent fraud.

A final, onsite face to face interview will be required.

Candidate AI Usage Policy

AI is a part of our daily work at Vanguard DevOps, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.