No responsibilities or details were provided. The posting only lists the job title "AI Engineer" with no additional information about duties or expectations.
AI Engineer
ResponsibilitiesAI Engineer
QualificationsAI Engineer
Similar Jobs
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Design, prototype, and productionize generative AI features and agentic workflows. Build Python services, TypeScript/React UIs, data pipelines, evaluation and instrumentation, and safeguards. Partner with product and stakeholders to measure impact, ensure reliability, and mentor engineers.
Top Skills:
Generative AiLarge Language ModelsPythonReactSQLTypescript
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Early-career AI Engineer building customer-facing generative AI and agentic solutions. Rapidly prototype and convert prototypes to production MVPs, implement LLM-based reasoning, RAG pipelines, and multi-agent orchestration. Run experiments and benchmarks, contribute to MLOps standards, model lifecycle, monitoring, security, and governance while collaborating with cross-functional teams and cloud-native AI stacks.
Top Skills:
Agentic AiAWSFine-TuningGenerative AiGCPGoogle Cloud Vertex AiLarge Language Models (Llms)Llm TrainingMlops/AimlopsModel Evaluation And MonitoringMulti-Agent OrchestrationPrompt EngineeringRetrieval-Augmented Generation (Rag)
Edtech • Healthtech • HR Tech • Information Technology • Professional Services • Software • Telehealth
Design, build, test, deploy, and maintain cloud-based web applications and microservices. Ensure performance, reliability, and code quality while collaborating on new features, debugging, and optimizing systems. Use AI development tools daily, contribute to infrastructure as code, and promote maintainable architecture and documentation.
Top Skills:
.Net.Net CoreAngularAWSAzureAzure DevopsC#Ci/CdClaudeCursorDockerGitGithub CopilotHTML/CSSJavaScriptKubernetesMicroservicesNgrxOauthRedisSQLTerraformTypescriptWeb ApiXunit
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



