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Full Stack AI Engineer

Kainos Innovative Solutions IncHouston, TX🇺🇸United StatesPosted 24 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Houston, TX, United States
Posted
Yesterday
DockerMicroservicesNode.jsSQLAWSAngularAzureGenerative AIGitGoogle CloudJavaKubernetesPythonRESTReactTerraform

Job Description

Position: Full Stack AI Engineer

Location: Houston, TX (onsite)

 

Job Summary:

We are looking for a Full Stack AI Engineer to design, develop, and deploy AI-powered applications. The ideal candidate should have strong experience in both frontend and backend development, along with hands-on experience building and integrating AI/ML and Generative AI solutions.

 

Key Responsibilities:

  • Develop scalable frontend and backend applications using modern technologies.
  • Build and integrate AI/ML and Generative AI solutions into applications.
  • Develop REST APIs, microservices, and backend services.
  • Work with LLMs, RAG, prompt engineering, embeddings, and vector databases.
  • Integrate AI services and APIs such as OpenAI, Azure OpenAI, or similar platforms.
  • Develop responsive user interfaces using React, Angular, or similar frameworks.
  • Build backend services using Python, Node.js, Java, or similar technologies.
  • Work with SQL and NoSQL databases and optimize application performance.
  • Deploy and maintain applications on AWS, Azure, or Google Cloud Platform.
  • Collaborate with product, data, and engineering teams to deliver AI-powered solutions.

 

Required Skills:

  • Strong experience in Full Stack Development.
  • Hands-on experience with Python and/or Node.js.
  • Strong frontend experience with React or Angular.
  • Experience with Generative AI, LLMs, RAG, and AI APIs.
  • Experience with REST APIs and microservices.
  • Knowledge of SQL/NoSQL databases.
  • Experience with Git, CI/CD, Docker, and cloud platforms.
  • Strong problem-solving and communication skills.

 

Nice to Have:

  • Experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Experience with Vector Databases such as Pinecone, FAISS, or similar.
  • Knowledge of Kubernetes and Terraform.

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