Top Tech Jobs & Startup Jobs in Austin, TX

Build and operate generative AI applications using .NET/C# or Java, Python, LLM APIs, RAG, and agentic workflows. Develop prompts, tools, and AI application logic; create GitHub Actions CI/CD pipelines; automate AWS infrastructure with Terraform; and deploy containerized services on Kubernetes and Amazon EKS. Monitor production systems, troubleshoot incidents, improve security and observability, and collaborate with engineering and business teams.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality, use Python for supporting work, and apply AI coding tools such as Claude Code for development, testing, and debugging. Collaborate on design decisions and code reviews, troubleshoot issues, and support application deployment and maintenance across cloud environments.

Build and maintain Java and Spring Boot backend services, REST APIs, SQL integrations, and React or Angular interfaces. Write tested code, troubleshoot issues, improve performance, and support deployment through CI/CD. The role also involves integrating basic AI capabilities such as LLM APIs and AI assistants into application workflows.

Build and deploy generative AI applications and multi-agent systems on Google Cloud using Vertex AI, Python, BigQuery, RAG, and secure enterprise data integrations. Develop data pipelines, train and serve models, evaluate AI output, protect sensitive information, troubleshoot production systems, and collaborate with technical and business stakeholders.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.