ZipRecruiter

Log In

1

Senior Full Stack Machine Learning Engineer Jobs in Texas

1 point system

Sr. Full-Stack

Houston, TX · On-site

Requirement - Sr. Full-Stack C# .NET Developer - Angular, (AI/Platform-leaning) Location- Houston ... Strong Full Stack Engineering experience * Backend development in C#, .NET, or similar (less ...

ADPMN INC

Senior Full Stack AWS Developer

Dallas, TX · Hybrid

Role : Senior Full Stack AWS Developer Location: Hybrid - Dallas, Texas office or McLean, Virginia office(Hybrid) Work Authorization : GC or USC only(W2) Required Skills: * Strong experience in AWS:

Luminoustec LLC

Senior Full Stack Developer

Austin, TX · On-site

Senior Full Stack Developer Location: Austin, TX Duration: Full time Job Details: As a Senior Full Stack Developer, you will be responsible for building rich and interactive web applications that ...

Luminoustec LLC

Senior Full Stack Developer

Austin, TX · On-site

Senior Full Stack Developer Location: Austin, TX Duration: Full time Job Details: As a Senior Full Stack Developer, you will be responsible for building rich and interactive web applications that ...

Judge Group, Inc.

Senior Full Stack Developer

Irving, TX · On-site

$50 - $55/hr

Our client is currently seeking a Senior Full Stack Developer [ Additional Description ] This job will have the following responsibilities: Design, develop, and deploy GenAI-powered solutions using ...

Datalinx AI

Senior Full-Stack Engineer

Austin, TX · On-site

Required : • 10+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design. • Strong ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

McLane Company

Sr Full Stack Engineer

Temple, TX · Hybrid

We're seeking a highly driven Sr. Full Stack BI Engineer to build next-generation data products that transform how our internal teams and external partners consume insights. This role sits at the ...

previous pagenext page

Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Texas

Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Texas?

The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities in Texas with the most Senior Full Stack Machine Learning Engineer job openings:

Senior Full Stack Machine Learning Engineer jobs near you

Sr. Full-Stack

1 point system

Houston, TX • On-site

Contractor

Re-posted 10 days ago

Job description

Requirement - Sr. Full-Stack C# .NET Developer - Angular, (AI/Platform-leaning)

Location- Houston, TX

Contract W2

Requirements:

  • Strong Full Stack Engineering experience
  • Backend development in C#, .NET, or similar (less concerned about the actual programming languages and frameworks as AI code generation can translate between languages/frameworks).
  • Frontend skills in Angular and/or React - their front-ends fluctuate between both.
  • Experience with component-based, modular architecture
  • Familiarity with:
    • AI/LLM concepts and integration into applications
    • RAG patterns or chatbot development
  • Understanding of Azure ecosystem basics (especially pipelines and services)

Domain

  • Experience working in Microsoft-centric environments
  • Exposure to AI/ML or LLM-based applications
  • Understanding of software engineering lifecycle and platform development

Soft Skills

  • Strong communication skills (English fluency required)
  • Ability to be flexible/fungible across teams
  • Quick ramp-up capability (2-week evaluation threshold)
  • Strong collaboration and adaptability

Engagement Overview

  • Project / Initiative: AI Foundation Program (post-moonshot stabilization and standardization)
  • Business Objective:
    • Establish foundational AI and engineering capabilities
    • Standardize development patterns (RAG, chatbot frameworks)
    • Enable scalable, reusable AI solutions across the organization
  • Current State / Problem:
    • Initial AI efforts (“moonshots”) executed without proper foundational architecture
    • Lack of standardized components, patterns, and processes
    • Multiple teams require support with inconsistent needs and maturity levels
  • Desired Outcome:
    • Centralized, repeatable AI engineering framework
    • Modular, component-based architecture for reuse
    • Well-defined SDLC practices
    • Reliable, high-quality engineering talent embedded across teams

Role Summary

  • Role Title: Full Stack Engineer (AI/Platform-leaning)
  • Reason for Opening:
    • Staff augmentation to support AI foundation buildout
    • Multiple teams need additional resourcing at varying skill levels
  • How this role fits into the broader project:
    • Core contributors to building reusable AI components, frameworks, and patterns
    • Support both application enablement and platform standardization
  • Team Structure / Reporting Line:
    • Distributed across teams under:
      • Josh (focus: software engineering / SDLC modernization)
      • Sam (focus: AI Foundry / agent-based systems)

Preferred Skills (Nice-to-Haves)

  • Experience with:
    • Azure AI services (e.g., Azure AI Search)
    • AI orchestration frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
    • Agent-based architectures / “Agentic AI”
  • Experience building internal platforms or developer frameworks
  • Exposure to model management and automation pipelines
  • Familiarity with memory integration patterns in AI systems
  • Experience working in nearshore/distributed teams

Requirements:

  • Strong engineering foundation (Full Stack or Backend-oriented)
  • Experience integrating AI/LLM capabilities into applications
  • Hands-on experience developing:
    • RAG applications
    • Chatbots
    • Agentic workflows
    • AI-powered developer platforms
  • Understanding of prompt orchestration and AI application architecture
  • Experience building reusable AI patterns and frameworks
  • Experience with Azure AI Foundry
  • Knowledge of hosted agents and agent orchestration
  • Understanding of model management and automation
  • Experience integrating memory components into AI system
  • LLM lifecycle management, agentic architectures, RAG
  • Tool calling and workflow orchestration.
  • Evaluation, testing, and governance of AI systems
  • AI enablement and educating development teams on AI fundamentals

Experience creating reusable AI accelerators and reference architectures nice to have