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Pattern Making Jobs in Houston, TX (NOW HIRING)

Build reusable components and reference patterns for tool routing, state management, error handling ... making business concepts queryable by both humans and agents * Develop and curate knowledge graphs ...

Salesforce Developer II

Houston, TX · On-site +1

$51.25 - $67.75/hr

... async patterns • Secure coding (CRUD/FLS checks, sharing) • Meaningful unit tests, test data ... e.g., making CRM data available for segmentation and enabling segment outcomes in business ...

Build reusable components and reference patterns for tool routing, state management, error handling ... making business concepts queryable by both humans and agents * Develop and curate knowledge graphs ...

Assemble, sew, and finish textile products according to patterns, instructions, and quality requirements. * Inspect finished items for quality and consistency, making necessary adjustments or repairs ...

Assemble, sew, and finish textile products according to patterns, instructions, and quality requirements. * Inspect finished items for quality and consistency, making necessary adjustments or repairs ...

Assess individual performance drivers, behavioral patterns, and decision-making tendencies * Help employees define clear career paths, including lateral and vertical growth opportunities within the ...

Integration & Data Movement Engineer

Houston, TX · On-site

$99K - $133K/yr

... making. Support new initiatives and system changes by designing integrations that minimize ... API usage and authentication patterns Error handling, logging, and monitoring expectations Naming ...

Lead AI Engineer

Houston, TX · On-site

$97K - $128K/yr

... patterns tailored to engineering use cases (e.g., PEP, MDR, technical documentation) - Recommend ... making and automation - Develop AI-powered solutions that improve engineering workflows using ...

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Pattern Making information

See Houston, TX salary details

$31.2K

$72.1K

$117.4K

How much do pattern making jobs pay per year?

As of Jul 11, 2026, the average yearly pay for pattern making in Houston, TX is $72,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $80,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Pattern Makers in the apparel industry?

Pattern Makers often encounter challenges such as accommodating unique design specifications while ensuring garments maintain proper fit and functionality. Balancing creative vision with technical limitations, especially when working with new fabrics or manufacturing processes, can require innovative problem-solving. Additionally, managing tight deadlines and frequent iterations with design and production teams demands strong organizational skills. Collaborating closely with designers, sample makers, and production staff is key to overcoming these challenges and achieving high-quality, finished products.

What is a Pattern Making job?

A Pattern Making job involves creating templates or blueprints for garments, accessories, or other textile-based products. Pattern makers translate design sketches into accurate patterns that guide the cutting and sewing process in production. They use specialized software or manual techniques to ensure proper fit, proportions, and construction details. Precision and attention to detail are essential, as patterns dictate the final look and functionality of a product.

What are the key skills and qualifications needed to thrive in the Pattern Making position, and why are they important?

To thrive in Pattern Making, a strong understanding of garment construction, dimensional accuracy, and textile properties is essential, often supported by coursework or experience in fashion design or apparel technology. Familiarity with pattern drafting software like Gerber, Optitex, or CAD systems is typically required, and formal certifications can be an advantage. Attention to detail, creative problem-solving, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, well-fitting garments and facilitate smooth collaboration within the production team.

What are the most commonly searched types of Pattern Making jobs in Houston, TX? The most popular types of Pattern Making jobs in Houston, TX are:
What are popular job titles related to Pattern Making jobs in Houston, TX? For Pattern Making jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Pattern Making jobs in Houston, TX look for? The top searched job categories for Pattern Making jobs in Houston, TX are:
What cities near Houston, TX are hiring for Pattern Making jobs? Cities near Houston, TX with the most Pattern Making job openings:
Infographic showing various Pattern Making job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $72,115 per year, or $34.7 per hour.
Agentic AI Engineer

Agentic AI Engineer

Fervo Energy Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 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.