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Openai Jobs in Texas (NOW HIRING)

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

AMSYS Talent

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

Develop scalable Python workflows using Azure OpenAI, Prompt Flow, LangChain, and AI Search * Implement vector search and retrieval workflows * Use asynchronous Python for high-volume data processing

TEKFORTUNE INC

.NET Full Stack Engineer

Dallas, TX · On-site

... e.g., OpenAI, Azure OpenAI, AI integrations) • Familiarity with CI/CD pipelines and DevOps practices Preferred : • Hands-on experience with Angular (latest versions preferred) Company

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

Tata Consultancy Service Limited

AI Architect

Irving, TX · On-site

$150K - $201K/yr

Must Have Technical/Functional Skills • Must Have: • Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework • Databricks, Synapse, Data Factory • AKS, Docker, Kubernetes • Python ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

smart folks inc

IAM FullStack developer

Austin, TX · On-site

Proven track record building GenAI solutions using RAG : embeddings, vector search, retrieval tuning, prompt engineering, LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face), using ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Scadea

.Net Engineer

Houston, TX

NET technologies and best practices. ----- Key Responsibilities - Develop AI solutions using Azure AI Foundry, Azure OpenAI, LLMs, and RAG architectures. - Build and integrate AI capabilities into

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Integrate with AI platforms including Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and Anthropic Claude. Implement AI observability, guardrails, and evaluation frameworks (RAGAs, TruLens ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Develop and integrate LLM solutions (Azure OpenAI / AI Foundry) * Design RAG pipelines (embeddings, vector search, retrieval systems) * Deploy scalable applications using Docker and Kubernetes (AKS)

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How much do openai jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for openai in Texas is $26.97, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $39.86 per hour, depending on experience, location, and employer.

What is an OpenAI job?

An OpenAI job refers to a role within OpenAI, a leading artificial intelligence research lab focused on developing and promoting AI technologies. Jobs at OpenAI span various fields, including research, engineering, policy, and product development. Employees work on cutting-edge AI advancements, such as large language models and reinforcement learning, to ensure AI benefits humanity.

What are the key skills and qualifications needed to thrive in the OpenAI position?

To thrive at OpenAI, professionals typically need a strong background in computer science, machine learning, and data analysis, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud computing platforms is highly valued, along with research experience or relevant technical certifications. Strong problem-solving abilities, creativity, and effective teamwork and communication skills help individuals excel at OpenAI. These skills are critical to successfully developing and deploying innovative AI solutions in fast-paced, collaborative environments.

What types of projects and collaborative opportunities can I expect when working at OpenAI?

At OpenAI, you’ll have the chance to work on cutting-edge AI research and development projects ranging from natural language processing models to reinforcement learning systems. Many projects are highly interdisciplinary, allowing you to collaborate with teams of experts in computer science, engineering, ethics, and policy. Teamwork and collaboration are central to the work culture, offering regular opportunities for knowledge sharing, brainstorming, and peer review. This collaborative environment not only accelerates learning and innovation but also fosters professional growth and exposure to diverse AI challenges.

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Openai jobs near you
Infographic showing various Openai job openings in Texas as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $56,091 per year, or $27 per hour.

AI Engineer (DFW Area)

RealPage, Inc.

Richardson, TX • On-site

$107K - $182K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

224th of 244 rated software companies

Job description

Overview
RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities.
We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will focus on designing, building, and scaling advanced AI applications in the PropTech space. You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams.
You will be responsible for taking AI concepts from ideation to production, owning end-to-end solutions that improve our products and transform user experiences.
In this role you would be expected to come into the office 2-3 days a week.
Responsibilities
  1. Agentic AI & Generative Application Engineering
  • Evaluate and use LLMs and multimodal models from multiple providers (e.g., OpenAI, Google, Anthropic, etc.) for:
    • Conversational assistants, task-based copilots, and AI agents
    • Summarization, content generation, document understanding, generative analytics
    • Basic multimodal use cases (text + image, text + document, and soon video/audio)
  • Design and implement agentic workflows (e.g., tool-calling, multi-step reasoning, multi-agent orchestration) using:
    • LangChain, OpenAI Agents SDK, Google ADK or similar frameworks.
  1. Prompt Engineering & Guardrails
  • Design and optimize prompts and system instructions to:
    • Improve task completion, reliability, and latency
    • Minimize hallucinations and toxic/unsafe outputs
  • Implement structured outputs (JSON/JSON Schema)
  • Develop function/tool calling and prompts that help AI call them properly
  • Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom policies) to keep conversations focused
  1. RAG & Knowledge Integration
  • Architect and implement RAG pipelines:
    • Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.)
    • Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.)
    • Implement knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality.
  • Explore emerging retrieval techniques (semantic caching, knowledge graphs, long-context models, memory systems).
  1. Full-Stack & System Integration
  • Build or integrate front-end experiences (React / Vue / Svelte / Web RTC) for AI agents and copilots.
  • Develop back-end services to orchestrate AI calls using REST, gRPC, WebSockets, or MCP; ensure scalability and observability.
  • Integrate with internal systems and PropTech data sources using secure APIs and data contracts.
  1. Evaluation, Monitoring & Optimization
  • Design and maintain evaluation pipelines and benchmarks for LLM-based features:
    • Offline metrics (accuracy, relevance, latency, cost)
    • Human-in-the-loop evaluations where needed
  • Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.
  • Optimize for performance, reliability, latency, and cost through:
    • Model selection and routing (e.g., small vs. large models, Google vs. OpenAI)
    • Prompt/token optimization and caching strategies.
  1. Collaboration, Documentation & Delivery
  • Collaborate with cross-functional teams (Product, Design, Domain Experts, Data Science, Platform Engineering) to define requirements and success metrics.
  • Participate in architecture and design reviews; write clear technical documentation and runbooks.
  • Contribute to shared libraries, templates, and best practices for AI development.
  • Work in an Agile environment and own features from design through deployment and maintenance.

Qualifications
  • 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs.
  • Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience.
  • Strong proficiency in:
    • Python for AI/ML, data pipelines, and back-end services
    • JavaScript/TypeScript for front-end and/or Node services
    • SQL and experience working with relational databases and basic data modeling
  • Working with coding assistants like Windsurf, Cursor, Codex, etc.
  • Proven experience building production-grade software:
    • Writing clean, testable, maintainable code
    • Using CI/CD pipelines, code reviews, and Git workflows
  • Hands-on experience with:
    • At least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
    • LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
    • Vector embeddings, vector databases, and RAG architectures
  • Experience with one or more major cloud platforms (GCP, Azure, and AWS) and:
    • Docker for containerization
    • Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

Nice-to-Have Skills / Abilities
  • Experience with:
    • Voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
    • Multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
    • Orchestrating multiple models (routing, ensembles, fallback strategies)
  • Familiarity with:
    • AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
    • Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
    • Browser automation software such as PlayWright
  • Background in:
    • AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
    • A/B testing and online experimentation for AI features.

In this role you would be expected to come into the office 2-3 days a week. #LI-JL1 #LI-HYBRID
SALARY AND BENEFITS
  • RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position. ,

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.
Pay Range
USD $107,200.00 - USD $182,600.00 /Yr.

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