AI Engineer

We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.

Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence, 10 15 years of overall software engineering experience. 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems. Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations. Proficiency in Python (primary) and familiarity with Node.js. Strong background in cloud-native development on Google Cloud Platform. Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks. Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices. Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph. Preferred Qualifications Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect). Contributions to open-source AI/ML projects. Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains.