Please send resumes to mxavier@judge.com. You must be able to accept w2 employment without sponsorship now or in the future.
Senior AI Engineer (Google AI & GenAI)
We're looking for a Senior AI Engineer with strong experience in Generative AI and the Google AI ecosystem. This role requires 10+ years of software engineering experience, including 4-5+ years focused on building and deploying production-grade AI/LLM solutions. You'll design scalable AI systems, lead model development, and deliver intelligent applications using modern cloud-native and MLOps practices.
Key Responsibilities
Design, build, and deploy AI solutions using LLMs (Gemini, GPT, Claude) and open-source models (Mistral, Mixtral, Phi, Gemma)
Develop agent-based and RAG systems using frameworks like LangChain, LlamaIndex, and Semantic Kernel
Fine-tune and evaluate models using Vertex AI, Hugging Face, and PEFT techniques (LoRA/QLoRA)
Build AI-powered applications integrated with Google Workspace and GCP services (Vertex AI, GKE, Cloud Run)
Develop backend APIs (FastAPI/Node.js) and modern frontends (React/Angular)
Implement semantic search and vector database solutions (Vertex AI Vector DB, ChromaDB)
Establish MLOps pipelines, CI/CD, and monitoring for AI systems
Lead architecture, documentation, and agile delivery (Jira, Confluence, Figma)
Required Qualifications
10-15 years of software engineering experience
5+ years in Generative AI, LLMs, RAG, or multi-agent systems
Strong expertise in Google AI ecosystem (Vertex AI, Gemini, ADK, GCP)
Proficiency in Python (primary), with Node.js familiarity
Experience with model fine-tuning, evaluation, and production deployment
Solid understanding of cloud-native architecture and MLOps practices
Preferred Qualifications
Google Cloud certifications (ML Engineer, Cloud Architect)
Experience with edge AI or hybrid cloud environments
Contributions to open-source AI/ML projects
Experience mentoring or leading AI teams