Demo

Gen. AI Engineer

Kaleidoscope Innovation
Fort Worth, TX Full Time
POSTED ON 7/24/2026
AVAILABLE BEFORE 8/22/2026
Overview

We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native technologies. This is a hands-on engineering role focused on building production-ready AI platforms from architecture through deployment.

The ideal candidate has extensive experience developing scalable AI solutions, integrating LLMs into enterprise applications, and delivering secure, reliable systems that operate in production environments.

Responsibilities

  • Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures.
  • Build scalable document ingestion, embedding, retrieval, and vector search pipelines.
  • Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies.
  • Create secure backend services and APIs using Python, FastAPI, Flask, or comparable frameworks.
  • Build intuitive AI-powered web applications using modern front-end technologies such as React, Angular, or Next.js.
  • Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and Infrastructure-as-Code.
  • Implement observability, monitoring, LLMOps, and governance to ensure production reliability and responsible AI practices.
  • Collaborate with product, engineering, architecture, and business stakeholders to deliver enterprise AI solutions.

Required Qualifications

  • 8 years of software engineering, cloud engineering, AI/ML, or platform engineering experience.
  • 3 years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong expertise with Python and API development using FastAPI, Flask, or similar frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
  • Experience with Agentic AI frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, or AutoGen.
  • Strong understanding of prompt engineering, tool calling, agent orchestration, and workflow automation.
  • Experience developing cloud-native applications on AWS, Azure, or GCP.
  • Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices.
  • Experience integrating enterprise AI applications with databases, APIs, and business systems.
  • Strong understanding of security, governance, and responsible AI best practices.

Preferred Qualifications

  • Experience implementing Graph RAG and knowledge graph solutions.
  • Experience with MCP (Model Context Protocol) architecture.
  • Experience deploying models using vLLM, Hugging Face, Triton, or TensorRT-LLM.
  • Experience with Databricks, Spark, Kafka, Snowflake, or modern data engineering platforms.
  • Experience building AI applications within regulated industries such as Financial Services, Healthcare, or Insurance.
  • Azure, AWS, Google Cloud, or Databricks AI certifications.

Technical Environment

  • Languages: Python, JavaScript/TypeScript, SQL
  • Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, React, Angular, Next.js
  • Cloud: AWS, Azure, GCP
  • Vector Databases: Pinecone, Weaviate, Chroma, Milvus, Azure AI Search
  • DevOps: Docker, Kubernetes, Terraform, GitHub Actions, Jenkins
  • AI Platforms: OpenAI, Claude, Gemini, Llama, AWS Bedrock, Azure OpenAI

Salary : $100,000 - $160,000

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Gen. AI Engineer?

Sign up to receive alerts about other jobs on the Gen. AI Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Kaleidoscope Innovation

  • Kaleidoscope Innovation Charlotte, NC
  • We are unable to sponsor or take over sponsorship of an employment visa at this time AI Developer / Agentic AI Engineer Role Summary We are building an age... more
  • 1 Day Ago

  • Kaleidoscope Innovation Chandler, AZ
  • * Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. ... more
  • 2 Days Ago

  • Kaleidoscope Innovation Lafayette, IN
  • * Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*... more
  • 2 Days Ago

  • Kaleidoscope Innovation Boston, MA
  • Job Summary Under the supervision of the Engineering Manager, the Electronics Packaging Engineer is responsible for the mechanical, thermal, and materials ... more
  • 2 Days Ago


Not the job you're looking for? Here are some other Gen. AI Engineer jobs in the Fort Worth, TX area that may be a better fit.

  • GM Financial Arlington, TX
  • Job Description Why GM Financial Technology? Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-nativ... more
  • 12 Days Ago

  • Apex Systems Southlake, TX
  • Job#: 3033687 Job Description: Senior GenAI Software Engineer Locations: Southlake, TX or Austin, TX Your Opportunity You’re empowered to make an impact on... more
  • 25 Days Ago

AI Assistant is available now!

Feel free to start your new journey!