Generative AI Engineer
Highbrow Technology Inc
57001 Richardson, TX
Posted
Jan 1, 2026
Job Type
Full-Time
Work Mode
On-site
Salary
Salary negotiable
Job Description
As a Generative AI Engineer, you’ll be a core member of the pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You will collaborate closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.
Key Responsibilities
- Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks
- Integrate GenAI models into full-stack applications and internal workflows
- Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs
- Build reusable components and services for multi-agent orchestration and task automation
- Optimize AI inference pipelines for scalability, latency, and cost efficiency
- Participate in architectural discussions, contributing to the pod’s technical roadmap
Core Skills & Experience
Must-Haves
- 8 years of software engineering experience, including 2–3 years in AI/ML or GenAI systems in production
- Hands-on experience with Python for AI/ML model integration
- Experience with LLM frameworks such as LangChain and LlamaIndex
- Exposure to agentic frameworks like Langgraph and Google ADK
- Strong understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices
- Familiarity with Google Cloud Platform (GCP) — e.g., Vertex AI, Cloud Run, and GKE
Good-to-Have
- Experience building AI APIs, embeddings, vector search, and integrating them into applications
- Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs
- Exposure to multi-modal AI systems (text, image, or voice)
- Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration
