Build, integrate, enhance, and support production-grade Generative AI and LLM applications. Develop AI agents, RAG capabilities, APIs, and enterprise integrations using JavaScript and TypeScript. Apply prompt engineering, model evaluation, monitoring, security, authentication, and responsible AI practices. Troubleshoot complex issues across application, integration, model, and platform layers while supporting CI/CD, testing, deployments, observability, and production operations.
AI Engineer
Required Qualifications
- 8+ years of software engineering experience, including strong hands-on development in JavaScript/TypeScript, with recent experience building, enhancing, and supporting Generative AI/LLM-based applications in production environments.
- Experience developing, enhancing, and supporting production-grade enterprise applications or platforms.
- Hands-on experience building Generative AI / LLM-based applications and capabilities.
- Experience integrating applications with Large Language Models (LLMs), AI services, and enterprise APIs.
- Understanding of key GenAI concepts including:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI agents and agentic workflows
- Tool/function calling
- Context and conversation management
- Model evaluation and monitoring
- Experience building and consuming REST APIs and integrating with enterprise systems and data sources.
- Ability to troubleshoot complex production issues across application, integration, AI/model, and platform layers.
- Experience with modern software engineering practices including source control, automated testing, CI/CD, monitoring, and production deployments.
- Understanding of security, authentication, authorization, data privacy, and responsible AI considerations for enterprise AI applications.
Preferred Qualifications
- Experience working on an enterprise AI platform or shared GenAI platform.
- Experience developing AI applications using JavaScript/TypeScript-based frameworks and SDKs.
- Experience building or supporting AI agents and multi-step AI workflows.
- Experience with RAG, embeddings, semantic search, or enterprise knowledge retrieval.
- Familiarity with AI observability, model evaluation, prompt/version management, usage monitoring, and cost optimization.
- Experience integrating AI capabilities with multiple enterprise applications and APIs.
- Familiarity with cloud-based AI services and foundation models.
- Experience supporting business-critical applications in a production environment.
Core Skills
JavaScript / TypeScript | Generative AI | LLM Integration | AI Agents | RAG | API Development & Integration | Prompt Engineering | Production Support | AI Observability | Enterprise Application Development
Compensation, Benefits and Duration
Minimum Compensation: USD 50,000
Maximum Compensation: USD 175,000
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.
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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.
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