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Executive Graphql Jobs in Dallas, TX (NOW HIRING)

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$109K - $132K/yr

... executive decision making. The ideal candidate possesses strong technical skills in SQL, Python ... REST and GraphQL APIs * SaaS and third-party technology platforms * Build and maintain scalable ETL ...

... executive decision making. The ideal candidate possesses strong technical skills in SQL, Python ... REST and GraphQL APIs * SaaS and third-party technology platforms * Build and maintain scalable ETL ...

Experience in using API technologies -HTTP, JSON, XML, REST API, and GraphQL * Experience applying ... Ability to explain complex technology topics to executives * Ability to self-manage time and ...

IT Engineering Manager

Dallas, TX · On-site

$200K - $250K/yr

... or executive stakeholders. * Balance hands-on technical involvement with people leadership ... Strong understanding of distributed systems, microservices, API design (REST/GraphQL), and cloud ...

Executive Graphql information

See Dallas, TX salary details

$26.2K

$92.5K

$182K

How much do executive graphql jobs pay per year?

As of Sep 3, 2026, the average yearly pay for executive graphql in Dallas, TX is $92,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $119,200.00 per year, depending on experience, location, and employer.

What is the difference between Executive Graphql vs Data Engineer?

AspectExecutive GraphqlData Engineer
Required CredentialsExperience with GraphQL, API management, leadership skillsComputer science degree, SQL, Python, ETL tools
Work EnvironmentTech teams, product development, leadership rolesData pipelines, backend systems, cloud platforms
Employer & Industry UsageTech companies, startups, SaaS providersData-driven companies, finance, tech, healthcare
Search & Comparison IntentUnderstanding leadership roles in API/GraphQLData infrastructure and pipeline roles

The Executive Graphql role focuses on leading API strategies and managing GraphQL implementations within tech teams, often requiring leadership experience and API expertise. Data Engineers build and maintain data pipelines, requiring technical skills in data processing and database management. While both roles operate in tech environments, they serve different functions—one in API management and leadership, the other in data infrastructure development.

What are the most commonly searched types of Graphql jobs in Dallas, TX?

The most popular types of Graphql jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Executive Graphql jobs?

Cities near Dallas, TX with the most Executive Graphql job openings:

$140 - $180/hr

Other

Posted 5 days ago


Job description

  • Agent Logic & Tooling:Develop and maintain the backend "tools" (APIs, scrapers, database connectors) that AI agents use to perform tasks.
  • Orchestration Implementation:Use frameworks likeLangChain, LangGraph, or CrewAIto implement complex reasoning chains and multi-agent coordination.
  • RAG Pipeline Engineering:Build and optimize data ingestion and retrieval systems usingVector Databases, ensuring the agent has the right context at the right time.
  • Asynchronous Task Management:Manage long-running AI reasoning cycles using asynchronous Python (FastAPI/Asyncio) and task queues like Celery or Redis.
  • API Architecture:Design and implement secure, high-performance REST or GraphQL APIs that serve as the interface between the agentic backend and the frontend.
  • Safety & Guardrails:Implement backend-level validation and guardrails to ensure that autonomous agent actions remain within secure and ethical boundaries.
Technical Requirements
  • Python Expertise:8+ years of professional experience withPython, specifically withFastAPI, Pydantic, and Asyncio.
  • AI Frameworks:Hands-on experience withLangChainorLlamaIndex.
  • Database Management:Proficiency inPostgreSQLand experience withVector Databases.
  • Cloud & DevOps:Experience deploying containerized applications usingDockerandKuberneteson AWS, Azure, or GCP.
  • Scalability:Understanding of distributed systems and how to handle the high latency and compute requirements of LLM-based applications.
  • Version Control:Mastery of Git and CI/CD best practices.
Preferred Qualifications
  • Knowledge ofPrompt Engineeringfrom a programmatic perspective (dynamic prompt templating).
  • Familiarity with observability tools for AI, such asLangSmithorArize Phoenix.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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