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Contract Fastapi Jobs in Irving, TX (NOW HIRING)

Sr. Python Full Stack Developer

Dallas, TX · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Contract (W2) Duration: 12+ months Location: Irving, TX/ Columbus, OH/ Chandler, AZ - 3 days hybrid ... Develop robust backend services and RESTful APIs using Python frameworks such as FastAPI or Django.

Experience with FastAPI * Experience working in Linux environments * Experience with React ... Onsite contract: Standard business hours * Occasional after-hours or weekend work may be required ...

Lead Software Engineer

Plano, TX · On-site

  • Medical

  • Retirement

Design and implement scalable, resilient REST APIs, including clear interface contracts and ... Strong backend development experience with Java (e.g., Spring Boot) and/or Python (e.g., FastAPI ...

Lead Software Engineer

Plano, TX · On-site

  • Medical

  • Retirement

Design and implement scalable, resilient REST APIs, including clear interface contracts and ... Strong backend development experience with Java (e.g., Spring Boot) and/or Python (e.g., FastAPI ...

Dallas, TX or Atlanta, GA (Hybrid) Duration: Long Term Contract About VLink: Started in 2006 and ... Hands-on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry, with a ...

New

Blockchain - Sr Lead Security Engineer

Plano, TX

$107K - $146K/yr

  • Medical

  • Retirement

... FastAPI * Solid understanding of blockchain fundamentals, including transaction models, consensus mechanisms, smart contract interaction (EVM-based and non-EVM), gas and fee management, and block ...

Showing results 21-40

Contract Fastapi information

See Irving, TX salary details

$39.4K

$101.8K

$133.5K

How much do contract fastapi jobs pay per year?

As of Aug 12, 2026, the average yearly pay for contract fastapi in Irving, TX is $101,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $114,300.00 per year, depending on experience, location, and employer.

What is the difference between Contract Fastapi vs Contract Python Developer?

AspectContract FastapiContract Python Developer
Required CredentialsProficiency in Fastapi, Python, REST APIsProficiency in Python, frameworks like Django or Flask
Work EnvironmentRemote or on-site, API development projectsRemote or on-site, software development projects
Industry UsageWeb services, microservices, backend APIsWeb applications, data processing, backend systems
Common Search IntentFastapi-specific contract rolesPython contract roles with broader frameworks

Contract Fastapi roles focus specifically on developing APIs using Fastapi, requiring expertise in this framework. Contract Python Developer roles are broader, involving Python programming across various frameworks like Django or Flask. Both roles often work in similar environments but differ in technical focus and project scope.

What are the most commonly searched types of Fastapi jobs in Irving, TX? The most popular types of Fastapi jobs in Irving, TX are:
What are popular job titles related to Contract Fastapi jobs in Irving, TX? For Contract Fastapi jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Contract Fastapi jobs in Irving, TX look for? The top searched job categories for Contract Fastapi jobs in Irving, TX are:
What cities near Irving, TX are hiring for Contract Fastapi jobs? Cities near Irving, TX with the most Contract Fastapi job openings:
Infographic showing various Contract Fastapi job openings in Irving, TX as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $101,819 per year, or $49 per hour.

IT - Senior Technology Architect | Cloud Platform | Google Machine Learning

Spruce Infotech

Irving, TX • On-site

$60.25 - $76.75/hr

Full-time

Re-posted 27 days ago


Job description

Job Title: Senior Technology Architect | Cloud Platform | Google Machine Learning
Work Location: IrvingTX75039
XXX
Contract duration: 12
Target Start Date: 30 Mar 2026
Does this position require Visa independent candidates only? Yes
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?)
No
Any additional information you would like to share about the project specs/ nature of work
na