AI Engineer

• 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 Google Cloud Platform 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)

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., * 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, Google Cloud Platform)
• 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, * 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