Full Stack Developer (React + Python + DevOps) GenAI / Agentic AI Enablement

Hybrid in Plano, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Agile
  • Artificial Intelligence
  • Cascading Style Sheets
  • Continuous Delivery
  • Continuous Integration
  • Cosmos-Db
  • Dashboard
  • Database
  • DevOps
  • Docker
  • Documentation
  • FOCUS
  • Generative Artificial Intelligence (AI)
  • HTML
  • Knowledge Base
  • Kubernetes
  • LangChain
  • Management
  • Microsoft Azure
  • NoSQL
  • Orchestration
  • PostgreSQL
  • Production Support
  • Python
  • RESTful
  • React.js
  • Relational Databases
  • Semantics
  • Sprint
  • TypeScript
  • UI
  • Web Applications
  • Workflow

Summary

Job Title: Full Stack Developer (React + Python) GenAI / Agentic AI Enablement

Job Location: Plano, TX (Hybrid onsite 3 days/week)

Description

AgreeYa is a global Systems Integrator and is seeking an experienced Full Stack Developer (React/TypeScript + Python) GenAI / Agentic AI Enablement to join our growing team in Plano, TX. In this role, you will build and enhance web applications and internal tooling that support Generative AI and Agentic AI solutions. The role includes designing, creating, and deploying agentic workflows using LangGraph alongside a modern React + TypeScript front end and Python back end. You will help operationalize AI-enabled solutions through strong DevOps practices and high-quality runbooks and knowledge bases.

Job Responsibilities

Design, develop, test, and maintain full-stack features using React, TypeScript, HTML/CSS, and Python services/APIs.

Build and deploy agentic workflows using LangGraph, including stateful, multi-step agent execution, tool calling, and orchestration patterns.

Integrate GenAI and Agentic AI capabilities into applications (e.g., agent-based workflows, orchestration logic, RAG-style interactions where applicable).

Build clean, reusable UI components and scalable service layers with a focus on performance and maintainability.

Implement data access patterns across relational (e.g., PostgreSQL) and non-relational (e.g., Cosmos DB) databases.

Deploy and support applications on Azure App Services.

Create and maintain CI/CD pipelines using Azure DevOps.

Produce operational artifacts including runbooks, troubleshooting guides, and knowledge base documentation to support production readiness.

Use AI-assisted development tools (Copilot, Windsurf) to accelerate development while maintaining code quality.

Participate actively in Agile ceremonies including daily standups, sprint planning, reviews, and retrospectives.

Required Skills & Experience

Strong experience with React, TypeScript, and CSS.

Experience building responsive, reusable UI components.

Strong proficiency in Python.

Experience building and consuming RESTful APIs.

Hands-on experience with Generative AI and Agentic AI.

Experience creating, deploying, and maintaining agentic workflows using LangGraph.

Understanding of agent orchestration, state management, and tool integration patterns.

Experience with relational databases (PostgreSQL preferred).

Experience with NoSQL databases (Cosmos DB preferred).

Experience with Azure DevOps.

Experience deploying applications to Azure App Services.

Experience building CI/CD pipelines.

Experience creating runbooks and knowledge bases.

Familiarity with reusable archetypes or reference patterns.

Comfortable working in 1-week sprints with daily standups.

Ability to work onsite in Plano three days per week.

Preferred Skills & Experience

Grafana (dashboards, monitoring, alerting).

Observability and production support experience.

Containerization (Docker/Kubernetes).

Additional agent frameworks (LangChain, Semantic Kernel, etc.).

Education Required

Bachelor s degree in Computer Science, Information Technology, or related field.

Additional Information

Work Model: Hybrid (onsite 3 days per week)
Agile Environment with daily standups and one-week sprints.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: swapps
  • Position Id: 8910022
  • Posted 3 hours ago
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