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Agentic Ai Engineer Jobs in Texas (NOW HIRING)

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Fervo Energy

Agentic AI Engineer

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

RSA Tech Group

Agentic AI Engineer

Dallas, TX · On-site

We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not ...

Select Minds LLC

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Vytwo

GenAI & Agentic AI Engineer

Prosper, TX · On-site

GenAI & Agentic AI Engineer Location: Whippany, NJ (Hybrid) Hire Type: FTE * Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future. About ...

Select Minds LLC

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

IT America Inc

Agentic AI Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

Agentic AI Engineer Lead Location: Dallas, TX & Basking ridge, NJ - Day one Onsite ( 5 days) Duration: Long term contract ** Prior Telecom domain experience will be a plus*** We have 2 in Dallas, TX ...

Quest Global

Agentic AI Engineer

Conroe, TX

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Rebel Athletic

Senior Agentic Ai Engineer

Carrollton, TX · On-site

$53.25 - $68.75/hr

Senior Agentic AI Engineer Build and Scale the AI Layer of the Business Rebel Athletic is seeking a highly experienced Agentic AI Engineer to lead the design, development, and deployment of ...

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All JobsAgentic Ai Engineer JobsAgentic Ai Engineer Jobs in Texas

Agentic Ai Engineer information

See Texas salary details

$36.3K

$94.8K

$128.1K

How much do agentic ai engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for agentic ai engineer in Texas is $94,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,500.00 per year, depending on experience, location, and employer.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.
What are popular job titles related to Agentic Ai Engineer jobs in Texas? For Agentic Ai Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Agentic Ai Engineer jobs in Texas look for? The top searched job categories for Agentic Ai Engineer jobs in Texas are:
What cities in Texas are hiring for Agentic Ai Engineer jobs? Cities in Texas with the most Agentic Ai Engineer job openings:
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Infographic showing various Agentic Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,798 per year, or $45.6 per hour.

Agentic AI Engineer

Fervo Energy Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission requires AI-native capabilities that drive measurable impact across drilling, completions, production, geophysics, and power plant operations. The Agentic AI Engineer, within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers, operators, and decision-makers in the field.
The Agentic AI Engineer owns the end-to-end delivery of agentic AI use cases - from problem framing and architecture, through prototyping, evaluation, deployment, and iteration in production. Working across Data Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for retrieval, semantic grounding, tool integration, and agent orchestration on top of our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth, sound architectural judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Agentic Workflow Design & Delivery
  • Design and deploy end-to-end agentic AI workflows using planner-worker, orchestrator-executor, multi-agent, and RAG-based architectures
  • Build reusable components and reference patterns for tool routing, state management, error handling, and human-in-the-loop checkpoints
  • Implement robust retrieval pipelines (hybrid search, vector + keyword, graph-aware retrieval) over technical documents, historian data, and operational records
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped agentic use cases with clear success metrics

Semantic Grounding & Knowledge Integration
  • Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and agents
  • Develop and curate knowledge graphs that connect domain entities (wells, pads, assets, equipment, events, documents) and serve as grounding context for LLM reasoning
  • Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns

Evaluation, Observability & Production Operations
  • Establish agent evaluation frameworks including golden datasets, automated regression tests, and structured evals for accuracy, faithfulness, and tool-use correctness
  • Implement tracing, logging, and observability across agent runs to support debugging, cost monitoring, and continuous improvement
  • Build feedback loops that capture user input and convert it into eval cases and prompt/system improvements
  • Support production incidents and platform-level issues impacting deployed agents

Deployment & Enablement
  • Deploy agents as production services on our Azure-native stack (App Service, Container Apps, Functions) with Entra ID SSO, Key Vault-managed secrets, and proper cost controls
  • Build lightweight UIs (Streamlit, Gradio, or React) for agentic applications and internal tools
  • Lead design reviews and cross-functional enablement sessions on agentic AI patterns and best practices

Qualifications
Required
  • Bachelor's or Master's degree in Computer Engineering or Data Science preferred.
  • 2+ years of hands-on experience building and deploying agentic AI or LLM-powered applications in production, not just prototypes or notebooks
  • Strong Python skills, including async patterns, API design with FastAPI, and writing testable, maintainable production code
  • Demonstrated experience with at least one major agent framework: LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel
  • Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs, streaming, and prompt engineering
  • Experience implementing RAG architectures with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, Chroma, or similar) and embedding models
  • Experience with agent orchestration patterns including multi-step planning, tool routing, state management, and graceful failure handling
  • Familiarity with Model Context Protocol (MCP) or equivalent standards for tool and context integration
  • Cloud deployment experience on Azure (App Service, Container Apps, Functions, Key Vault, Entra ID), or equivalent in AWS/GCP with willingness to work in our Azure-first environment
  • Strong Git and CI/CD experience, including version control discipline, code review, and automated testing
  • Experience with containerization (Docker) and infrastructure-as-code (Terraform preferred)
  • Strong observability and production operations skills, including structured logging, tracing, cost monitoring, and runbook development

Preferred
  • Experience designing or working with semantic models and semantic layers - Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer, Cube, or Power BI semantic models
  • Hands-on experience with knowledge graphs: graph databases (Neo4j, Azure Cosmos DB Gremlin), RDF/SPARQL, ontology design, or graph-augmented RAG
  • Experience with agent evaluation tooling such as LangSmith
  • Experience with our broader data stack: Databricks, Snowflake, Azure Data Lake Storage (ADLS), Azure Data Factory
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB)

Experience with multimodal models for handling well logs, schematics, or scanned reports
Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Golden or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $103,152 - $158,588 based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

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