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Senior Prompt Engineering Jobs in Texas (NOW HIRING)

Photon

Senior Java Developer - AI/ML

Dallas, TX · On-site

$119K - $155K/yr

Senior Java Developer AI/LLM Solutions Location: Dallas, TX (Onsite) About the Role We are seeking ... Build prompt orchestration and prompt engineering pipelines. * Integrate vector databases for ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... prompt engineering, RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to ...

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Aquent is seeking a visionary Senior AI Developer to join a dynamic team at the intersection of ... instructions and prompt engineering. * Contribute to the modernization of core technology ...

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model ...

Judge Group, Inc.

Senior AI Developer

Southlake, TX · On-site

$85 - $90/hr

As a Senior AI Developer, you will operate at the intersection of cutting-edge artificial ... Practical experience with agentic workflows, prompt engineering, and spec-driven development.

Business Centric Technology

Senior AI Engineer

Dallas, TX · On-site

$170K - $200K/yr

The Senior AI Engineer will be a core member of the engineering leadership team and a true force ... Strong prompt engineering skills to maximize LLM effectiveness * Experience building reusable ...

Mind Ware Inc

Java Full Stack Developer

Irving, TX · On-site

$50.50 - $65/hr

We are seeking a Senior Full Stack Developer with strong backend expertise in Java 17 and Spring ... Exposure to Generative AI and prompt engineering is a plus. Experience and Qualifications 10+ years ...

mthree

Senior Software Engineer

Houston, TX · On-site

$116K - $154K/yr

They are seeking a highly motivated Senior Software Developer to design and build scalable, secure ... Machine Learning / Generative AI, Prompt Engineering, Agentic AI systems • Writing and ...

OMS MEDICAL BILLING LLC

AI/ML Engineer

Addison, TX · Hybrid

This is a senior IC role for an engineer who wants to build, not just advise. What You'll Do ... Own the full lifecycle: data preparation, model selection, fine-tuning/prompt engineering ...

Texas Instruments

AI/ML Engineer

Richardson, TX · On-site

Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering ... senior engineers * Write quality code - develop production-ready code with testing and ...

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Senior Prompt Engineering information

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations adopt AI and natural language processing technologies. Their expertise in designing effective prompts and working with large language models is valuable across industries, and demand is expected to grow with advancements in AI tools and applications.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
What are the most commonly searched types of Prompt Engineering jobs in Texas? The most popular types of Prompt Engineering jobs in Texas are:
What are popular job titles related to Senior Prompt Engineering jobs in Texas? For Senior Prompt Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Prompt Engineering jobs in Texas look for? The top searched job categories for Senior Prompt Engineering jobs in Texas are:
What cities in Texas are hiring for Senior Prompt Engineering jobs? Cities in Texas with the most Senior Prompt Engineering job openings:
Senior Prompt Engineering jobs near you
Infographic showing various Senior Prompt Engineering job openings in Texas as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Java Developer - AI/ML

Photon

Dallas, TX • On-site

$119K - $155K/yr

Other

Posted 9 days ago

Job description

Job Title: Senior Java Developer AI/LLM Solutions
Location: Dallas, TX (Onsite) 

About the Role

We are seeking an experienced Senior Java Backend Developer with hands-on expertise in building scalable backend applications and integrating AI-powered solutions, Large Language Models (LLMs), and Generative AI technologies. The ideal candidate will have a strong foundation in Java microservices development while leveraging modern AI frameworks such as LangChain, LangGraph, OpenAI APIs, Azure OpenAI, or AWS Bedrock to build intelligent enterprise applications.

This role involves designing, developing, and deploying highly scalable APIs and backend services that power AI-driven business solutions.

Key Responsibilities

Backend Development

  • Design, develop, and maintain enterprise-grade backend applications using Java 17/21.
  • Develop scalable RESTful APIs and Microservices using Spring Boot and Spring Cloud.
  • Build highly available distributed systems following microservices architecture.
  • Implement asynchronous processing using Kafka, RabbitMQ, or JMS.
  • Optimize application performance, scalability, and reliability.
  • Develop secure APIs using OAuth2, JWT, Spring Security, and API Gateway.

AI & LLM Integration

  • Integrate applications with Large Language Models (LLMs) such as:
    • OpenAI GPT
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
    • AWS Bedrock
    • Llama Models
  • Develop AI-powered backend services for:
    • Intelligent search
    • Chatbots
    • AI Assistants
    • Document Processing
    • Knowledge Management
    • Code Generation
    • Summarization
    • Recommendation Engines
  • Implement Retrieval Augmented Generation (RAG) architectures.
  • Build prompt orchestration and prompt engineering pipelines.
  • Integrate vector databases for semantic search.
  • Develop AI agents using modern multi-agent frameworks.
  • Monitor AI model performance and optimize prompts for accuracy and cost.

AI Frameworks

Hands-on experience with one or more:

  • LangChain
  • LangGraph
  • Spring AI
  • Semantic Kernel
  • LlamaIndex
  • CrewAI
  • AutoGen (preferred)

Backend Architecture

  • Design event-driven architectures.
  • Build high-performance APIs.
  • Develop resilient distributed systems.
  • Implement caching using Redis.
  • Build scalable workflow engines.
  • Integrate third-party enterprise APIs.

Database Development

Experience with:

Relational Databases

  • PostgreSQL
  • MySQL
  • Oracle

NoSQL Databases

  • MongoDB
  • DynamoDB
  • Cassandra

Vector Databases

  • Pinecone
  • ChromaDB
  • Weaviate
  • Milvus
  • PGVector

Cloud & DevOps

Develop and deploy applications using:

Cloud Platforms

  • AWS
  • Azure
  • Google Cloud Platform

Services

  • Kubernetes
  • Docker
  • OpenShift
  • ECS/EKS
  • Azure Kubernetes Service

CI/CD

  • Jenkins
  • GitHub Actions
  • GitLab CI
  • Azure DevOps

Infrastructure

  • Terraform
  • Helm
  • ArgoCD

Observability

Experience with:

  • Prometheus
  • Grafana
  • Datadog
  • ELK Stack
  • Splunk
  • OpenTelemetry

Required Technical Skills

Core Java

  • Java 17/21
  • Spring Boot
  • Spring MVC
  • Spring Data JPA
  • Spring Security
  • Spring Cloud
  • Hibernate
  • Maven/Gradle

API Development

  • REST APIs
  • GraphQL (preferred)
  • OpenAPI/Swagger
  • gRPC (nice to have)

Messaging

  • Apache Kafka
  • RabbitMQ
  • ActiveMQ

AI Technologies

  • Prompt Engineering
  • RAG
  • Embeddings
  • Vector Search
  • LLM APIs
  • AI Agents
  • AI Workflows
  • Semantic Search
  • Model Evaluation

AI Tools

  • GitHub Copilot
  • Cursor AI
  • Windsurf
  • Claude Code
  • ChatGPT Enterprise
  • OpenAI SDKs
  • Azure AI Studio
  • Amazon Bedrock

Security

  • OAuth2
  • JWT
  • SAML
  • API Security
  • OWASP Best Practices

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 7+ years of Java backend development experience.
  • 2+ years of hands-on experience building AI-enabled applications.
  • Strong experience in developing enterprise microservices.
  • Experience integrating LLM APIs into production applications.
  • Strong understanding of distributed systems and cloud-native architecture.
  • Experience working in Agile/Scrum environments.
  • Excellent problem-solving and debugging skills.

Preferred Qualifications

  • Experience with LangGraph or agentic AI workflows.
  • Experience implementing RAG architectures at scale.
  • Experience with MCP (Model Context Protocol) integration.
  • Familiarity with AI evaluation frameworks.
  • Knowledge of AI guardrails, safety, and responsible AI practices.
  • Experience with multimodal AI models (text, image, audio).
  • Experience building AI copilots for enterprise applications.
  • Cloud certifications (AWS, Azure, or Google Cloud Platform).
  • Kubernetes certification is a plus.

Nice-to-Have Skills

  • Python for AI/ML integration
  • Neo4j or Knowledge Graphs
  • Apache Spark
  • Airflow
  • Elasticsearch/OpenSearch
  • Redis
  • Temporal.io
  • Camunda
  • Event Sourcing
  • CQRS Architecture

Soft Skills

  • Strong communication and collaboration skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Strong analytical and troubleshooting abilities.
  • Passion for learning emerging AI technologies.
  • Experience mentoring junior developers and conducting code reviews.

What You'll Build

  • AI-powered enterprise applications
  • Intelligent document processing systems
  • AI chatbots and virtual assistants
  • Retrieval-Augmented Generation (RAG) platforms
  • AI copilots for internal business users
  • Semantic search and knowledge management systems
  • Scalable backend APIs supporting Generative AI applications
  • Multi-agent AI workflows integrated with enterprise platforms

Apply