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Ai Application Developer Jobs in Austin, TX (NOW HIRING)

We are looking for an experienced AI Application Architect to lead the technical design and ... You'll work closely with engineering leads, product managers, and ML practitioners to translate ...

We are looking for an experienced AI Application Architect to lead the technical design and ... You'll work closely with engineering leads, product managers, and ML practitioners to translate ...

We are looking for an experienced AI Application Architect to lead the technical design and ... You'll work closely with engineering leads, product managers, and ML practitioners to translate ...

We are looking for an experienced AI Application Architect to lead the technical design and ... You'll work closely with engineering leads, product managers, and ML practitioners to translate ...

Mobile Application Developer

Austin, TX ยท On-site

$110K - $130K/yr

Contribute to internal APIs, automation tools, and AI-driven features * Learn domain-specific ... We value engineers who build genuine, lasting relationships, both with the practices who use what ...

New

Senior AI Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Candidates may bring deeper expertise in either application development or applied AI, and we value engineers who are excited to collaborate and grow across disciplines. We do not expect candidates ...

You will be embedded in new AI application development from the earliest design stages, ensuring ... Partner with engineering and data science teams on all new AI application development, ensuring ...

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Ai Application Developer information

See Austin, TX salary details

$16

$52

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How much do ai application developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai application developer in Austin, TX is $52.18, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.05 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in Austin, TX?

For Ai Application Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in Austin, TX look for?

The top searched job categories for Ai Application Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Ai Application Developer jobs?

Cities near Austin, TX with the most Ai Application Developer job openings:

Infographic showing various Ai Application Developer job openings in Austin, TX as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $108,502 per year, or $52.2 per hour.

AI Application Architect

Procore

Austin, TX โ€ข On-site

Other

Posted 24 days ago


Job description

We are looking for an experienced AI Application Architect to lead the technical design and evolution of our AI-powered product suite. You will be the technical authority on how we build, scale, and secure AI-native applications - spanning agent orchestration, LLM infrastructure, data pipelines, and developer tooling. You'll work closely with engineering leads, product managers, and ML practitioners to translate ambitious AI capabilities into robust, production-grade systems.


What You'll Do:

  • Define architecture for AI-native applications including agentic systems, RAG pipelines, multi-model inference layers, and human-in-the-loop workflows

  • Drive infrastructure decisions for scalable AI workloads: vector databases (Turbopuffer, pgvector, Milvus), workflow orchestration (Temporal, Airflow), and async compute patterns

  • Design and govern the integration layer between LLMs (OpenAI, Anthropic, Gemini, open-source) and backend services, including prompt management, context window optimization, and cost governance

  • Lead LLMOps and observability strategy - tracing (OpenTelemetry), evaluation pipelines, prompt versioning, drift detection, and integration with platforms like Langfuse or Arize

  • Establish security and compliance posture for AI systems - SSRF/injection hardening, LLM guardrails, data residency, and supply chain security for model artifacts and dependencies

  • Partner with product and research to evaluate emerging AI capabilities and determine when/how to adopt them (e.g., reasoning models, multimodal, fine-tuning, RLHF)

  • Champion engineering standards - API design, schema governance, testing strategies, and architecture decision records (ADRs)

  • Mentor senior engineers and establish guild-level technical communities around AI platform topics

What We're Looking For:

  • 10+ years of software engineering with 5+ years in a principal/staff or architect-level role

  • Hands-on experience designing and shipping production LLM-powered applications (not just prototypes)

  • Experience shipping complex, user-facing application platforms - particularly in SaaS, productivity tools, or enterprise software.

  • Demonstrated ability to lead full-stack teams building rich web application experiences (React, TypeScript/Node.js, modern frontend architectures) with strong backend (Python) and API design sensibility

  • Deep understanding of enterprise requirements: User Management, RBAC/ABAC permission models, audit logging, compliance frameworks, multi-tenant governance, and admin tooling.

  • Experience building contextual or adaptive UX - applications that respond to user state, workflow context, or personalization signals.

  • Strong grasp of cloud-native architecture (Kubernetes, Helm, container security, CI/CD) on AWS, GCP, or Azure

  • Solid understanding of API security: OAuth2, CSRF, rate limiting, secrets management, and zero-trust principles applied to AI endpoints

Preferred Experience:

  • Experience with MCP (Model Context Protocol) or comparable tool-calling/plugin infrastructure

  • Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks

  • Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites)

  • Background in developer-facing products or internal AI platforms / AI coding tooling

  • Understanding of supply chain security for ML models (artifact signing, registry enforcement, SBOM)

  • Contributions to open-source AI tooling or published architectural writing

Additional Information

Base Pay Range:

233,360.00 - 320,870.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.