Build and maintain responsive web and mobile interfaces with React.js or React Native while integrating AI and LLM capabilities. Develop prompts, AI agents, copilots, chatbots, RAG workflows, and intelligent assistants using Python and agent frameworks. Collaborate with product, UX, and backend teams, contribute to architecture and code reviews, optimize performance, and evaluate emerging UI and AI technologies.
Job Title: Senior UI Engineer (React/React Native & AI Development) Experience:
6+ Years
Location:
Open / Hybrid
Job Summary:
We are seeking a highly skilled and hands-on UI Engineer with strong expertise in React.js and/or React Native, combined with practical experience in AI application development. The ideal candidate should be capable of building modern, scalable user interfaces while leveraging AI technologies such as Python, Prompt Engineering, LLM integrations, and AI Agent development to create intelligent user experiences.
Key Responsibilities:
- Design, develop, and maintain responsive web and mobile applications using React.js and/or React Native.
- Build reusable UI components and ensure a seamless user experience across platforms.
- Integrate AI/LLM-powered capabilities into applications using APIs and frameworks.
- Develop and enhance AI-driven workflows, copilots, chatbots, and intelligent assistants.
- Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and user experience.
- Develop and orchestrate AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar platforms.
- Collaborate with Product, UX, and backend teams to deliver end-to-end solutions.
- Participate in architecture discussions, code reviews, and performance optimization initiatives.
- Stay updated on emerging UI and AI technologies and recommend innovative solutions.
Required Skills: UI Development
- Strong hands-on experience with React.js and/or React Native.
- Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3.
- Experience with state management libraries such as Redux, Zustand, or Context API.
- Familiarity with REST APIs and modern frontend development practices.
AI & Automation
- Strong programming skills in Python.
- Experience with Prompt Engineering and LLM-based application development.
- Hands-on experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI services.
- Experience building and deploying AI Agents and agentic workflows.
- Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases, and embeddings.
- Understanding of AI application monitoring, evaluation, and optimization techniques.
Preferred Qualifications:
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience developing AI-powered products, copilots, or conversational applications.
- Familiarity with containerization technologies such as Docker and Kubernetes.
Nice to Have:
- Exposure to MCP (Model Context Protocol).
- Experience with AI observability tools.
- Knowledge of GraphQL and microservices architectures.
- Mobile application deployment experience on iOS and Android platforms.
Key Traits:
- Hands-on problem solver with strong ownership.
- Ability to bridge UI engineering and AI innovation.
- Excellent communication and stakeholder management skills.
- Passion for emerging AI technologies and modern frontend ecosystems.
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 156,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Performs research, analysis, reconciliations, validations, and investigations for moderate to complex loss-billing issues. Partners with Claims, Underwriting, Finance, IT, and external stakeholders to ensure accurate billing, maintain controls, resolve problems, and improve processes. Supports system and operational projects, audit documentation, and quality assurance activities. Provides guidance to less-experienced analysts and contributes to continuous improvement and process efficiency.
Top Skills:
Business Intelligence ToolsExcel
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own post-sales commercial performance, retention, expansion, adoption, and value realization across high-value US manufacturing accounts. Serve as a strategic advisor to CIOs and senior IT leaders, translate business priorities into ServiceNow roadmaps, lead complex transformations, drive AI consumption, manage customer health metrics, and coordinate Sales, Delivery, Product, and other cross-functional teams. Build executive relationships, communicate data-driven value narratives, mitigate renewal risk, and represent customer feedback in product planning.
Top Skills:
Agentic AiAi/MlArtificial Intelligence (Ai)Servicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs, builds, and operates cloud-native reliability, release, and test platforms. Responsibilities include Kubernetes platform engineering, CI/CD and GitOps integration, automated testing, observability, deployment validation, progressive delivery, chaos engineering, infrastructure automation, and developer self-service tooling. The role resolves complex infrastructure and networking challenges, improves release quality and operational reliability, participates in architecture decisions, collaborates across engineering teams, and mentors engineers.
Top Skills:
Ai-Assisted EngineeringAnsibleArgo CdArgo WorkflowsAws EksAzure AksCanary DeploymentsChaos EngineeringCi/CdCypressFeature FlagsFluxGateway ApiGitlab Ci/CdGitopsGoGoogle Cloud GkeHelmInfrastructure As CodeIngressIstioJavaJunitKubernetesKustomizeLinkerdOpentelemetryPlaywrightProgressive DeliveryPrometheusPytestPythonRest AssuredRubySeleniumTerraformTestng
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
