Overview
Skills
Job Details
Job Title: Generative AI Engineer (Agentic Systems)
Location: Richardson, TX
Experience Level: Senior (8+ years total; 2 3+ years GenAI/AI in production)
About the Opportunity
Join a high-growth AI organization operating at the frontier of software development and AI research. This team is accelerating advances in reasoning, coding, multimodal AI, and STEM-focused intelligence, while delivering enterprise-grade AI systems that move beyond prototypes into real-world, revenue-generating deployments.
You ll collaborate with Silicon Valley caliber engineers and researchers, backed by $100M+ in recent funding, building agentic AI solutions that power mission-critical workflows for global enterprises.
Role Overview
As a Generative AI Engineer, you will be a core contributor within a cross-functional pod, partnering closely with Tech Leads and Full Stack Engineers. Your focus will be on designing, building, and deploying agentic AI systems using state-of-the-art LLMs and GenAI frameworks, transforming advanced AI capabilities into scalable, production-ready enterprise solutions.
Key Responsibilities
- Design, develop, and deploy agentic AI systems leveraging large language models and modern GenAI frameworks
- Integrate GenAI capabilities into full-stack applications and internal enterprise workflows
- Collaborate on prompt engineering, model fine-tuning, and systematic evaluation of generative outputs
- Build reusable services and components for multi-agent orchestration and intelligent task automation
- Optimize AI inference pipelines for scalability, latency, reliability, and cost efficiency
- Contribute to architectural discussions and help shape the technical roadmap for the AI pod
- Ensure best practices for production-grade GenAI deployment, monitoring, and lifecycle management
Core Skills & Experience
Must-Have Qualifications
- 8+ years of software engineering experience, including 2 3+ years working with AI/ML or Generative AI systems in production
- Strong hands-on experience with Python (required) for AI/ML model integration and orchestration
- Practical experience with LLM frameworks such as LangChain and LlamaIndex (required)
- Hands-on exposure to agentic AI frameworks including LangGraph and/or Google ADK (required)
- Solid understanding of Git, CI/CD pipelines, DevOps, and production deployment practices
- Experience working with Google Cloud Platform (Google Cloud Platform), including tools such as Vertex AI, Cloud Run, and GKE
Good-to-Have Skills
- Experience building AI-powered APIs, embeddings, and vector search integrations
- Exposure to fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or working with OpenAI APIs
- Experience with multimodal AI systems (text, image, or voice)
- Familiarity with low-code / no-code platforms (e.g., AppSheet) for workflow automation
Why This Role
- Build real-world agentic AI systems, not experimental demos
- Work on enterprise-scale GenAI deployments with measurable business impact
- Collaborate with top-tier engineers and AI practitioners
- Influence architecture and technical direction in a fast-growing, well-funded AI environment
- Competitive compensation aligned with senior GenAI expertise