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Model Context Protocol Jobs in Austin, TX (NOW HIRING)

3B Staffing LLC

Full Stack Engineer

Austin, TX · On-site

Experience with Model Context Protocol (MCP) integration and server development. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field

3B Staffing LLC

Full Stack Engineer

Austin, TX · On-site

Experience with Model Context Protocol (MCP) integration and server development. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well ...

Northern Base

Gen AI Engineer

Austin, TX · On-site

AI Agentic Frameworks & MCP (Model Context Protocol) * LLM Libraries (Anthropic SDK or Similar) * Prompt Engineering & LLM Orchestration * LLM Evaluation Frameworks & Responsible AI Practices * REST ...

Devbytes inc

AI Engineer

Round Rock, TX · On-site

Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, Devin) * Experience with AI evaluation ...

New

SpaceX

Data Engineer (Starlink)

Bastrop, TX

$113K - $136K/yr

Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX · On-site

$150K - $277K/yr

You will be directly responsible for creating AI-powered agents using technologies like Model Context Protocol (MCP) that can autonomously optimize physical synthesis processes, predict design ...

Realtor.com Careers

Sr. AI Platform Engineer

Austin, TX · On-site

$103K - $142K/yr

Drive the programmatic adoption of emerging open protocols like the Model Context Protocol (MCP) while significantly maturing platform governance, access, and observability. * Make a Company-Wide ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX · On-site

$150K - $277K/yr

You will be directly responsible for creating AI-powered agents using technologies like Model Context Protocol (MCP) that can autonomously optimize physical synthesis processes, predict design ...

Realtor.com Careers

Sr. AI Platform Engineer

Austin, TX · On-site

$103K - $142K/yr

Drive the programmatic adoption of emerging open protocols like the Model Context Protocol (MCP) while significantly maturing platform governance, access, and observability. * Make a Company-Wide ...

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All JobsModel Context Protocol JobsModel Context Protocol Jobs in Austin, TX

Model Context Protocol information

See Austin, TX salary details

$10

$31

$66

How much do model context protocol jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for model context protocol in Austin, TX is $31.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $38.85 per hour, depending on experience, location, and employer.

What is the difference between Model Context Protocol vs Data Analyst?

AspectModel Context ProtocolData Analyst
Required CredentialsKnowledge of data modeling, API protocols, and software developmentBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTechnical teams, software development, AI/ML projectsBusiness intelligence, reporting, data visualization
Industry UsageTech, AI, software developmentFinance, marketing, healthcare, business
Search & Comparison IntentUnderstanding technical protocols for AI modelsAnalyzing data for insights and decision-making

The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.

What are popular job titles related to Model Context Protocol jobs in Austin, TX?

For Model Context Protocol jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Model Context Protocol jobs in Austin, TX look for?

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What cities near Austin, TX are hiring for Model Context Protocol jobs?

Cities near Austin, TX with the most Model Context Protocol job openings:

Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $64,672 per year, or $31.1 per hour.

Principal Software Engineer - IT - United States

Talent Software Services, Inc

Round Rock, TX • On-site

$125K - $168K/yr

Other

Posted 4 days ago

Job description

Job Title: Principal Software Engineer(AI Software Engineer / AI Agent Engineer)
Location: Round Rock, TX (Onsite)
Duration:12 Month on W2 Contract
Responsibilities
  • Design, build, and deploy AI-powered capabilities across the SDLC, including:
  • Spec Driven Development workflows that support the translation of well-formed specifications into secure, verifiable implementations
  • Assurance of AI-generated code - guardrails, policy enforcement, and verification for code produced by AI assistants and agents
  • SDLC skills and agent tooling - developer-assist skills as well as verification skills that perform automated security checks (design review, dependency and supply-chain analysis, static/dynamic analysis orchestration, release audit support)
  • Integrate solutions with enterprise systems - source control, CI/CD, ticketing, security scanning, identity, and internal platforms - through APIs, webhooks, and protocols such as MCP (Model Context Protocol)
  • Partner with engineering, security, product, and leadership stakeholders to define requirements, evaluate trade-offs, and support solution adoption
  • Apply sound architecture and systems design practices: well-defined service boundaries, appropriate data models, secure defaults, observability, and extensibility

Required Skills and Qualifications
  • Demonstrated experience developing and deploying AI-based solutions in production environments, with measurable business or operational impact
  • Strong programming proficiency (e.g., Python, TypeScript/JavaScript, Go, or similar) and adherence to software engineering best practices, including testing, code quality, and maintainability
  • Hands-on experience with modern AI/LLM development, including:
  • Context engineering - designing what informs the model''s context window, including agentic retrieval and search, memory architectures, grounding in enterprise data, and structured outputs
  • Agentic system design - agent loop engineering, multi-agent and sub-agent orchestration, and tool/function calling
  • Context window management and token budgeting, including cost and latency optimization for production workloads
  • Evaluation of AI system quality, reliability, and safety
  • Solid understanding of software architecture and systems design, including API design, event-driven
  • patterns, and data modeling for scalability and extensibility
  • Experience developing and/or deploying applications with large-scale impact (broad user base, high transaction volume, or organization-wide adoption)
  • Experience integrating with multiple systems and platforms (REST/GraphQL APIs, CI/CD pipelines, cloud services, enterprise tooling)
  • Demonstrated ability to work independently across the full delivery lifecycle - requirements analysis, solution design, implementation, deployment, and stakeholder engagement - with accountability for results
  • Strong communication and collaboration skills, with the ability to convey technical concepts to both
  • engineering and business audiences
  • Working knowledge of secure development practices and experience designing solutions that meet enterprise security and compliance requirements

Preferred Skills and Qualifications
  • Experience applying AI within a security domain - application security, DevSecOps, code analysis, threat modeling, firmware security or software supply-chain security
  • Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP, including the OWASP Top 10 for LLM Applications; NIST SSDF)
  • Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, Devin)
  • Experience with AI evaluation frameworks, guardrails, prompt/response caching strategies, and LLMOps in production
  • Bachelor''s or master''s degree in computer science or a related field, or equivalent practical

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