Generative AI Full Stack Developer-3

Realign Llc

Plano (TX)

On-site

USD 140,000 - 200,000

Full time

48 hours ago
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Job summary

Realign Llc in Plano, Texas is seeking a senior AI/GenAI engineer to design, implement, and deploy enterprise-grade AI solutions using LLMs, LangChain, and RAG. You will integrate vector databases, develop full-stack apps with React/Next.js, Python backends, and secure cloud deployments.

The role requires deep experience with MCP, API design, Docker/Kubernetes, CI/CD, and Azure OpenAI. You will collaborate with product, security, and data teams to deliver scalable, production-ready systems.

Qualifications

  • Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
  • 5+ years of software development experience with strong Python and SQL.
  • 2+ years of hands-on experience building GenAI, LLM, or AI-enabled apps.
  • Experience with LangChain, LangGraph, RAG pipelines, and LLM integration patterns.
  • Strong API, backend, frontend development, and Linux environment knowledge.

Responsibilities

  • Design and develop GenAI applications using enterprise LLM platforms such as Azure OpenAI and related model services.
  • Build agentic AI workflows using LangGraph and LangChain.
  • Develop and optimize Retrieval-Augmented Generation architectures for business and technical use cases.
  • Integrate vector databases and semantic search capabilities to improve knowledge retrieval accuracy.
  • Build AI copilots, chatbots, virtual assistants, and workflow automation solutions.
  • Apply prompt engineering, evaluation, and tuning techniques to improve AI response quality.

Skills

Python
SQL
Linux
REST APIs
MCP
LangChain
LangGraph
RAG
Azure OpenAI
Azure AI Search
Docker
Kubernetes
CI/CD
React/Next.js

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Docker
Kubernetes
FastAPI
Flask
Django

Job description

The ideal candidate must possess strong expertise in Generative AI, Agentic AI, and full-stack application development, with hands-on experience designing and deploying enterprise-grade AI solutions using Large Language Models (LLMs), LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) frameworks. The candidate should be highly proficient in Python, SQL, Linux, REST APIs, and Model Context Protocol (MCP), with experience integrating AI agents, vector databases, enterprise systems, and cloud services. Strong full-stack development skills are required, including React/Next.js, TypeScript, backend API development, microservices, Docker, Kubernetes, and CI/CD pipelines. Experience with Azure OpenAI, Azure AI Search, cloud-native architectures, secure coding practices, and production deployment of scalable AI solutions is essential for success in this role.

Roles and Responsibilities
Generative AI and LLM Development
  • Design and develop GenAI applications using enterprise LLM platforms such as Azure OpenAI and related model services.
  • Build agentic AI workflows using LangGraph and LangChain.
  • Develop and optimize Retrieval-Augmented Generation architectures for business and technical use cases.
  • Integrate vector databases and semantic search capabilities to improve knowledge retrieval accuracy.
  • Build AI copilots, chatbots, virtual assistants, and workflow automation solutions.
  • Apply prompt engineering, evaluation, and tuning techniques to improve AI response quality.
MCP and AI Integration
  • Implement Model Context Protocol integrations to connect LLM applications with tools, data sources, and business systems.
  • Develop reusable AI orchestration patterns for APIs, databases, files, and enterprise knowledge repositories.
  • Design context management, memory, and tool-calling strategies for AI agents.
  • Develop scalable backend services using Python, FastAPI, Flask, or Django.
  • Create RESTful APIs, microservices, and secure integration services.
  • Design, query, and optimize SQL databases for application and reporting needs.
  • Implement authentication, authorization, logging, and secure coding practices.
Frontend Development
  • Build responsive web applications and dashboards using React, Next.js, Angular, Vue.js, or similar frameworks.
  • Integrate AI-powered user experiences into enterprise web applications.
  • Collaborate with product, UX, and business teams to deliver intuitive and user-friendly interfaces.
Linux, DevOps, and Operations
  • Manage and troubleshoot Linux-based application environments.
  • Automate deployment and operational tasks using scripting and CI/CD pipelines.
  • Contain erize services using Docker and support deployments on Kubernetes or cloud platforms.
  • Monitor application performance, reliability, and security in production environments
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
  • 5+ years of software development experience with strong Python and SQL skills.
  • 2+ years of hands-on experience building GenAI, LLM, or AI-enabled applications.
  • Experience with LangChain, LangGraph, RAG pipelines, and LLM integration patterns.
  • Strong knowledge of API development, backend services, frontend application development, and Linux environments.
  • Ability to design secure, scalable, and production-ready enterprise applications.
Required Skills
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