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Music Ai Audio Python Jobs in Texas (NOW HIRING)

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Python for AI/ML, data pipelines, and back-end services * JavaScript/TypeScript for front-end and ...

... Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while ... and audio models, and image or video generation. • Familiarity with DevOps and IaC tooling ...

Software Engineer, Embedded Agentic AI

Austin, TX · On-site

$130K - $171K/yr

Strong proficiency in Python, plus experience with C/C++ or another systems language. * Hands-on ... Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and ...

... Python, Typescript/Javascript * 2+ years of experience specifically building LLM-powered ... This role requires use of a computer and audio equipment Travel: * Approximately 5% travel off-site ...

... channel and AI/ML solutions. * Hands-on experience in Experience in functional design and ... Speech Lex, Real-time dashboard, Call Audio Analysis with help of Amazon Lambda, S3, Transcription ...

... channel and AI/ML solutions. Hands-on experience in Experience in functional design and ... Hands on experience with Terraform , Lambda( using Python and Java) and API development. Experience ...

Software Engineer II: AI Compiler Engineer

Austin, TX · Hybrid

$96K - $132K/yr

... Audio and Speech, Vision, Imaging and hundreds of intelligent IoT applications. Be a part of a team ... Python experience highly desired * Prior work with CNNs and familiarity with deep learning ...

Developer III

Richardson, TX · On-site

$129K - $220K/yr

Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality ... Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio ...

Developer III

Richardson, TX · Hybrid

$129K - $220K/yr

Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality ... Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio ...

Developer III

Richardson, TX · Hybrid

$129K - $220K/yr

Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality ... Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio ...

Developer III

Richardson, TX · Hybrid

$52 - $68.75/hr

Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality ... Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio ...

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Music Ai Audio Python information

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python Engineer, and why are they important?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.
What are popular job titles related to Music Ai Audio Python jobs in Texas? For Music Ai Audio Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Texas look for? The top searched job categories for Music Ai Audio Python jobs in Texas are:
What cities in Texas are hiring for Music Ai Audio Python jobs? Cities in Texas with the most Music Ai Audio Python job openings:
AI Engineer III HYBRID

AI Engineer III HYBRID

RealPage, Inc.

Richardson, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

189th of 209 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 to the HQ in Richardson, TX once a month.
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.

In this role you would be expected to come to the HQ in Richardson, TX once a month.
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. #LI-JK1

In this role you would be expected to come to the HQ in Richardson, TX once a month.
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. #LI-JK1 #LI-HYBRID

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.

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