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Flask Developer Jobs in Texas (NOW HIRING)

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

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 ...

New

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

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 ...

Guidehouse

Lead Full Stack Developer

San Antonio, TX · On-site

Django experience is preferred; experience with Flask, FastAPI, Falcon, or SQLAlchemy may be ... AWS Certified Developer - Associate certification. * Experience with Flask, Docker, Amazon EKS ...

ClifyX

Python Automation lead

Austin, TX · On-site

... using Flask to support data driven applications. • Manage deployment and configuration of Nginx servers to ensure high availability and security Mentor junior developers and provide technical ...

Guidehouse

Lead Full Stack Developer

Boerne, TX · On-site

Django experience is preferred; experience with Flask, FastAPI, Falcon, or SQLAlchemy may be ... AWS Certified Developer - Associate certification. * Experience with Flask, Docker, Amazon EKS ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

AI/ML Engineer ?? Location: Plano, TX (Hybrid) ?? Duration: Long-Term Contract Client: EmergerTech ... Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.

Navigant Consulting

Full Stack Developer

San Antonio, TX · On-site

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

Guidehouse

Full Stack Developer

San Antonio, TX · On-site

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

Guidehouse

Full Stack Developer

San Antonio, TX

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

Guidehouse Careers

Full Stack Developer

Boerne, TX · On-site

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

Guidehouse

Full Stack Developer

Boerne, TX · On-site

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

Guidehouse

Full Stack Developer

San Antonio, TX · On-site

$80K - $133K/yr

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

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Flask Developer information

See Texas salary details

$15

$49

$76

How much do flask developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for flask developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a Flask developer?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

What are the key skills and qualifications needed to thrive as a Flask developer?

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What are the common challenges Flask developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are the most commonly searched types of Flask Developer jobs in Texas?

The most popular types of Flask Developer jobs in Texas are:

What are popular job titles related to Flask Developer jobs in Texas?

For Flask Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Flask Developer jobs in Texas look for?

The top searched job categories for Flask Developer jobs in Texas are:

What cities in Texas are hiring for Flask Developer jobs?

Cities in Texas with the most Flask Developer job openings:

Flask Developer jobs near you
Infographic showing various Flask Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Gen. AI Engineer

Worky

Fort Worth, TX • On-site

$140 - $260/hr

Other

Posted 3 days ago

New

Job description

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
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