Top Tech Jobs & Startup Jobs in Austin, TX

Source and attract technical talent, particularly software engineering candidates, using targeted multi-channel strategies and sourcing platforms. Partner with recruiters and hiring managers to define requirements, build talent pipelines, craft effective outreach, and track sourcing metrics. The role requires strong research, Boolean search, communication, organization, adaptability, and data-driven decision-making in a hybrid/on-site Austin environment.

Build and evolve scalable, performant software services supporting production AI systems. Responsibilities include writing quality code, designing cloud-neutral microservices, optimizing and deploying AI models, contributing to architecture and design discussions, leading the software development lifecycle, mentoring engineers, and collaborating cross-functionally. The role requires expertise in Go or another major programming language, Python, DevOps technologies, cloud architecture, databases, and scalable service development.

Senior Product Manager responsible for defining the vision, strategy, requirements, roadmap, and execution of edge AI management capabilities. The role coordinates engineering, data science, infrastructure, sales, marketing, and customers to manage model, data, and configuration deployment across distributed edge environments. Responsibilities include product acceptance testing, documentation, release communications, go-to-market support, market analysis, and KPI-driven prioritization. Candidates need strong AI/ML fluency, distributed systems or edge experience, technical product management expertise, and eligibility for a Secret or higher security clearance.

Develop and deploy reliable machine learning, LLM-powered agent, and agentic workflow systems for government and enterprise customers. Integrate models with tools, APIs, MCP servers, and data sources; build evaluation frameworks for performance, reliability, and safety; improve Chariot, the company’s AI operations platform; and support mission-critical deployments. Collaborate with data scientists, software engineers, DevOps teams, and customers in secure government environments.

Develop and deploy reliable machine learning, LLM, agentic, and data-centric systems for government and enterprise customers. Build and evaluate AI agents, workflows, tool integrations, and retrieval-augmented systems; measure performance, reliability, and safety; and improve the Chariot AI operations platform. Collaborate with customers, data scientists, software engineers, and DevOps teams on mission-critical deployments. The role is fully remote or hybrid in Austin, with travel up to 20%.

Build and maintain front-end experiences for an AI/ML operations platform. Translate user and technical requirements into reliable, intuitive web applications using React, TypeScript, modern JavaScript, APIs, testing frameworks, and cloud services. Collaborate with designers, data scientists, software engineers, and DevOps teams while maintaining high code quality. The role is fully remote or hybrid in Austin, includes up to 10% travel, and requires US citizenship with eligibility and willingness to obtain a Secret clearance.

The Junior Quality Engineer will verify software performance, document test results, develop and implement testing strategies, and improve product quality. The role involves applying software testing methodologies, communicating technical findings, and building knowledge of software, data science, and machine learning systems. Test automation, programming, databases, CI/CD, containerization, and security clearance experience are preferred. The position is hybrid or on-site in Austin, Texas.

Develop machine learning capabilities, custom analytics, and mission-critical AI solutions across image, video, text, geospatial, time-series, and structured data. Build and orchestrate data engineering pipelines for agentic and traditional architectures, collaborate with data scientists, software and DevOps engineers, contribute to the Chariot AI operations platform, and support customer-facing deployments.

Develop quality software for AI systems that monitor model performance, manage drift, and support reliable production deployment. Contribute to cloud-neutral, microservices-based platforms using event-driven architecture, infrastructure as code, databases, APIs, and cloud technologies. Collaborate with an experienced engineering team, solve meaningful problems, and grow technical skills. The role is hybrid or on-site in Austin, Texas, and requires U.S. person status.

Build and style front-end UI/UX components for core AI products using TypeScript, JavaScript, React, CSS, and REST APIs. Collaborate with UX designers, data scientists, and software engineers to solve complex problems, integrate backend services, and deliver reliable web applications. The role supports technical growth and requires strong problem-solving skills, Git experience, U.S. person status, and hybrid/on-site work in Austin, Texas.