ZipRecruiter

Log In

1

Senior Fastapi Developer Jobs in Garland, TX (NOW HIRING)

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... Data Engineering Role Overview: Sr AI/ML Lead with around 15+ years of hands-on experience in ... Develop web-based AI applications using frameworks like Flask, FastAPI, or Django. * Implement LLM ...

CGI Inc.

Senior AI Software Engineer

Dallas, TX · On-site

$121K - $159K/yr

Hands on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry, with a ... using Azure DevOps or GitHub Actions. . System Design: Proven experience with designing and ...

previous page

Showing results 41-60

All JobsFastapi Developer JobsSenior Fastapi Developer JobsSenior Fastapi Developer Jobs in Garland, TX

Senior Fastapi Developer information

See Garland, TX salary details

$14

$59

$84

How much do senior fastapi developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for senior fastapi developer in Garland, TX is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $66.88 per hour, depending on experience, location, and employer.

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are the key skills and qualifications needed to thrive as a Senior FastAPI Developer?

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

What are popular job titles related to Senior Fastapi Developer jobs in Garland, TX?

For Senior Fastapi Developer jobs in Garland, TX, the most frequently searched job titles are:

What cities near Garland, TX are hiring for Senior Fastapi Developer jobs?

Cities near Garland, TX with the most Senior Fastapi Developer job openings:

Senior Fastapi Developer jobs near you

IT - Senior Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Irving, TX • On-site

$62.50 - $83.50/hr

Full-time

Re-posted 17 days ago

Job description

Job Title: Senior Technology Architect | Cloud Platform | Google Machine Learning
Work Location: Charlotte, NC, 28202 (please submit profiles within this area only)
XXX
Contract duration: 12
Target Start Date: 30 Mar 2026
Does this position require Visa independent candidates only? Yes
In person Interview - Mandatory
Job Details:
Must Have Skills
GEN AI, Agentic AI Cortex AI,, ML Ops,Python, ML, Data Science, RAG,LLM
Nice to have skills
GCP, Prompt Engineering
Detailed Job Description
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.
Key Responsibilities:
Design and implement Generative AI models for text, image, or multimodal applications.
Develop prompt engineering strategies and embedding-based retrieval systems.
Integrate Gen AI capabilities into web applications and enterprise workflows.
Build agentic AI applications with context engineering and MCP tools. Required Skills & Qualifications:
10+ years of hands-on experience in AI, Data science, ML, GEN AI.
Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
Strong hands-on experience with RAG pipelines and vector databases
Extensive experience with LangChain, LangGraph, CrewAI, multi-agent orchestration
Strong MLOps / LLMOps experience with CI/CD automation
Experience across AWS (SageMaker, Lambda, EKS, S3) and GCP (Vertex AI)
API & microservices development using FastAPI, REST, Docker, Kubernetes
• Strong Python proficiency with PyTorch / TensorFlow
Strong MLOps/LLMOps experience with CI/CD automation,
Extensive experience with LangChain, LangGraph, and agentic AI patterns including routing, memory, multi-agent orchestration, guardrails, and failure recovery.
Experience in Developing microservices and API development using FastAPI, REST APIs, Pydantic/JSON schemas, Docker, and Kubernetes for low-latency serving.
Strong Hands-on experience with vector databases and semantic search technologies including Pinecone, FAISS, ChromaDB, and embedding lifecycle management
Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Strong experience in working with LLM fine-tuning with LoRA, QLoRA, PEFT,
Strong experience in Architected advanced RAG systems using Pinecone, FAISS, Weaviate, Chroma, hybrid retrieval, and custom embeddings,
Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow, DVC, SageMaker Pipelines, Vertex AI Pipelines, and GitHub Actions
Experience in using cloud-native AI systems on AWS (SageMaker, Lambda, EKS, EC2, Step Functions, S3, Glue) and GCP Vertex AI, supporting high-volume inference and secure enterprise operations
Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling, validation agents, automated reasoning, and workflow supervision
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong communication skills
Strong programming skills
Interview Process (Is face to face required?) Mandatory (Either in Dallas or in Charlotte at Client office)
Any additional information you would like to share about the project specs/ nature of work
na

Apply