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Fastapi Programmer Jobs in Texas (NOW HIRING)

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

Develop high-performance APIs using Python (3.10+) and FastAPI * Build and deploy LLM inference ... A hands-on engineer who understands how LLM systems run in production-from model loading and ...

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.

Sr. Python Developer - TX

Irving, TX · On-site

$116K - $157K/yr

Develop, test, and maintain applications using FastAPI. * Design and implement database models and schemas using SQLAlchemy. * Integrate user-facing elements developed by front-end developers with ...

Full Stack Developer | React + FastAPI | 10+ Years Experience 10+ years of full stack engineering experience across frontend and backend systems Expert-level proficiency in React and Next.js -- SSR ...

Sr. Python Developer - TX

Irving, TX · On-site

$116K - $157K/yr

Develop, test, and maintain applications using FastAPI. * Design and implement database models and schemas using SQLAlchemy. * Integrate user-facing elements developed by front-end developers with ...

Sr GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... using FastAPI Python to support data services • Implement robust data quality and validation ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

Full Stack Developer | React + FastAPI | 10+ Years Experience * 10+ years of full stack engineering experience across frontend and backend systems * Expert-level proficiency in React and Next.js ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

... a GenAI / AI Engineer to build LLM-based applications and AI APIs. The role involves working with Python and FastAPI, as well as deploying machine learning models using various tools.

AI Engineer

Plano, TX · On-site

$42/hr

AI Engineer Work Location: Plano, TX Duration: Contract Note: Local Candidates Only, F2F is ... API development (preferably FastAPI in Python). * Ability to independently debug and triage ...

Showing results 21-40

Fastapi Programmer information

What cities in Texas are hiring for Fastapi Programmer jobs?

Cities in Texas with the most Fastapi Programmer job openings:

Gen. AI Engineer

INFOSYS NOVA HOLDINGS LLC

Fort Worth, TX • On-site

$100K - $160K/yr

Full-time

Posted 25 days ago


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