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Agentic Ai Developer Jobs in Houston, TX (NOW HIRING)

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

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

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 ...

Addison Group

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Senior AI Agentic Engineer Spring TX - 3 days in office (Tues/Wed/Thurs) Duration: Full time /Direct Hire The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent agent systems ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... 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 ...

ASCENSUS

Agentic AI Delivery Leader

Houston, TX · Hybrid

This role partners with executive business leaders, product and engineering teams, data/AI ... Define agentic framework to conduct end-to-end discovery (diagnostics, data/system constraints ...

NAVA Software Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$95K - $131K/yr

Senior AI Agentic Engineer Location: Spring TX - 3 days in office (Tues/Wed/Thurs) Duration: Full time /Direct Hire The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent ...

Nava Software Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$88K - $121K/yr

Senior AI Agentic Engineer Location: Spring TX - 3 days in office (Tues/Wed/Thurs) Duration: Full time /Direct Hire The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent ...

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How much do agentic ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for agentic ai developer in Houston, TX is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $52.36 per hour, depending on experience, location, and employer.

Is agentic AI developer a good career?

Agentic AI developer is a specialized role focused on creating autonomous and adaptive AI systems, often requiring skills in machine learning, programming, and systems design. It is a growing field with increasing demand as AI technology advances, offering opportunities in research, development, and industry applications.

What does an agentic AI developer do?

An agentic AI developer designs and builds 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 programming skills in languages like Python and knowledge of AI ethics and safety. Their role involves testing, deploying, and refining AI agents to ensure reliable and ethical performance.

What cities near Houston, TX are hiring for Agentic Ai Developer jobs?

Cities near Houston, TX with the most Agentic Ai Developer job openings:

Agentic Ai Developer jobs near you
Infographic showing various Agentic Ai Developer job openings in Houston, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $86,919 per year, or $41.8 per hour.

Agentic AI Engineer

Fervo Energy Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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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